diff --git a/Pipfile b/Pipfile
index b105eaa..64afb22 100644
--- a/Pipfile
+++ b/Pipfile
@@ -7,9 +7,9 @@ verify_ssl = true
 pytest = "==7.0.1"
 pylint = "==2.13.9"
 pytest-cov = "==3.0.0"
-cython = "==0.29.30"
 twine = "==3.7.1"
 setuptools = "==59.6.0"
+cython = "==0.29.30"
 
 [packages]
 wheel = ">=0.37.1"
diff --git a/Pipfile.lock b/Pipfile.lock
index ba8ce38..37495ed 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "e1d38c5b46ffcc31b5d6c76f271872f6f82f44a18b99b00fe54135fedf9b60dd"
+            "sha256": "14fabe58d787a63d8216f5de193376d1d2f7c63d3725dfdf7aa35c56c81eeb74"
         },
         "pipfile-spec": 6,
         "requires": {},
@@ -16,554 +16,563 @@
     "default": {
         "numpy": {
             "hashes": [
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-                "sha256:28f15209fb535dd4c504a7762d3bc440779b0e37d50ed810ced209e5cea60d96",
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-                "sha256:300321e3985c968e3ae7fbda187237b225f3ffe6528395a5b7a5407f73cf093e",
-                "sha256:32437f0b275c1d09d9c3add782516413e98cd7c09e6baf4715cbce781fc29912",
-                "sha256:3c09418a14471c7ae69ba682e2428cae5b4420a766659605566c0fa6987f6b7e",
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-                "sha256:fe52dbe47d9deb69b05084abd4b0df7abb39a3c51957c09f635520abd49b29dd"
-            ],
-            "markers": "python_version < '3.10' and platform_machine != 'aarch64' and platform_machine != 'arm64'",
-            "version": "==1.21.3"
+                "sha256:17e5226674f6ea79e14e3b91bfbc153fdf3ac13f5cc54ee7bc8fdbe820a32da0",
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+                "sha256:cf8c6aed12a935abf2e290860af8e77b26a042eb7f2582ff83dc7ed5f963340c",
+                "sha256:d98addfd3c8728ee8b2c49126f3c44c703e2b005d4a95998e2167af176a9e722",
+                "sha256:dc76bca1ca98f4b122114435f83f1fcf3c0fe48e4e6f660e07996abf2f53903c",
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+            ],
+            "markers": "platform_machine != 'aarch64' and platform_machine != 'arm64' and python_version < '3.10'",
+            "version": "==1.23.2"
         },
         "pandas": {
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-            "version": "==1.3.4"
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+                "sha256:fc58c3fcb8a724b703ffbc126afdca5a8353d4d5945d5c92db85617e165299e7"
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             "index": "pypi",
-            "version": "==1.7.1"
+            "version": "==1.9.0"
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         "six": {
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@@ -574,59 +583,63 @@
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+                "sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3",
+                "sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3",
+                "sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164",
+                "sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1",
+                "sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c",
+                "sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1",
+                "sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7",
+                "sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1",
+                "sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320",
+                "sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed",
+                "sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1",
+                "sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248",
+                "sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c",
+                "sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456",
+                "sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77",
+                "sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef",
+                "sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1",
+                "sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7",
+                "sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86",
+                "sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4",
+                "sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d",
+                "sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d",
+                "sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8",
+                "sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5",
+                "sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471",
+                "sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00",
+                "sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68",
+                "sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3",
+                "sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d",
+                "sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735",
+                "sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d",
+                "sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569",
+                "sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7",
+                "sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59",
+                "sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5",
+                "sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb",
+                "sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b",
+                "sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f",
+                "sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462",
+                "sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015",
+                "sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af"
+            ],
+            "version": "==1.14.1"
         },
         "zipp": {
             "hashes": [
-                "sha256:71c644c5369f4a6e07636f0aa966270449561fcea2e3d6747b8d23efaa9d7832",
-                "sha256:9fe5ea21568a0a70e50f273397638d39b03353731e6cbbb3fd8502a33fec40bc"
+                "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2",
+                "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==3.6.0"
+            "version": "==3.8.1"
         }
     }
 }
diff --git a/README.md b/README.md
index 595e2bd..000d6ae 100644
--- a/README.md
+++ b/README.md
@@ -126,7 +126,7 @@ You can thus `join` the results directly to the input.
 
 ## Association Measures
 
-The following association measures are currently implemented (v0.2.1):
+The following association measures are currently implemented (v0.2.2):
 
 - asymptotic hypothesis tests:
   - **z-score** (`z_score`)
@@ -148,7 +148,7 @@ The following association measures are currently implemented (v0.2.1):
   - **local mutual information** (`local_mutual_information`)
 - conservative estimates
   - **conservative log-ratio** (`conservative_log_ratio`)
-    - parameters: `disc`, `alpha`, `correct`, `one_sided`
+    - parameters: `disc`, `alpha`, `correct`, `one_sided`, `boundary`
 
 You can either calculate specific measures:
 
diff --git a/association_measures/frequencies.py b/association_measures/frequencies.py
index c753757..caaab8b 100644
--- a/association_measures/frequencies.py
+++ b/association_measures/frequencies.py
@@ -1,7 +1,6 @@
 """
 observed (O11, O12, O21, O22) and expected (E11, E12, E21, E22) frequencies
 
-http://www.collocations.de/AM/index.html
 """
 
 from pandas import DataFrame
@@ -19,10 +18,10 @@ def observed_frequencies(df):
 
     Possible input formats:
     - frequency signature (cf. Evert 2008: Figure 8):
-      f  = O11                    # co-occurrence freq. of token and node
-      f1 =  R1 <int>              # number of tokens in W(node)
-      f2 =  C1                    # marginal freq. of token
-      N  =   N <int>              # size of corpus without nodes
+      f  = O11                    # co-occurrence freq. of token and node / freq. in corpus 1
+      f1 =  R1 <int>              # number of tokens in W(node) / size of corpus 1
+      f2 =  C1                    # marginal freq. of token / freq. in corpus 1 + 2
+      N  =   N <int>              # size of corpus without nodes / size of corpus 1 + 2
     - corpus frequencies ("keyword friendly"):
       f1 = O11                    # number of occurrences in corpus 1
       f2 = O21                    # number of occurrences in corpus 2
@@ -57,7 +56,7 @@ def observed_frequencies(df):
         O22 = df['N2'] - O21
 
     else:
-        raise ValueError('columns are not reasonably named: %s ' % str(df.columns))
+        raise ValueError(f'columns are not reasonably named: {str(df.columns)}')
 
     return DataFrame(
         index=df.index,
diff --git a/association_measures/measures.py b/association_measures/measures.py
index cceee26..2055d96 100644
--- a/association_measures/measures.py
+++ b/association_measures/measures.py
@@ -1,14 +1,11 @@
 """
-Association measures are mathematical formulae that interpret cooccurrence frequency data.
+association measures
 
-http://www.collocations.de/AM/index.html
 """
 
-
 import numpy as np
-# from statistics import NormalDist  # requires python version >= 3.8
-from scipy.stats import norm    # requires scipy
 from pandas import concat
+from scipy.stats import norm, beta
 
 from .binomial import choose
 from .frequencies import expected_frequencies, observed_frequencies
@@ -32,25 +29,25 @@ def list_measures():
         'log_likelihood': log_likelihood,
         'simple_ll': simple_ll,
         # point estimates of association strength
-        'liddell': liddell,
         'min_sensitivity': min_sensitivity,
+        'liddell': liddell,
         'dice': dice,
         'log_ratio': log_ratio,
         # likelihood measures
         # 'hypergeometric_likelihood': hypergeometric_likelihood,
-        # 'binomial_likelihood': binomial_likelihood,
+        'binomial_likelihood': binomial_likelihood,
+        # conservative estimates
+        'conservative_log_ratio': conservative_log_ratio,
         # information theory
         'mutual_information': mutual_information,
         'local_mutual_information': local_mutual_information,
-        # conservative estimates
-        'conservative_log_ratio': conservative_log_ratio
     }
 
 
-def score(df, f1=None, N=None, N1=None, N2=None,
-          measures=None, freq=True, per_million=True, digits=6,
-          disc=.5, signed=True, alpha=.01, correct='Bonferroni',
-          one_sided=False):
+def score(df, measures=None, f1=None, N=None, N1=None, N2=None,
+          freq=True, per_million=True, digits=6, disc=.001,
+          signed=True, alpha=.001, correct='Bonferroni',
+          boundary='normal', vocab=None, one_sided=False):
 
     """Wrapper for `calculate_measures` that also allows integer counts to
     be given as parameters. This is reasonable for the following notations:
@@ -95,6 +92,7 @@ def score(df, f1=None, N=None, N1=None, N2=None,
 
     df = calculate_measures(df, measures, freq, per_million, digits,
                             disc=disc, signed=signed, alpha=alpha,
+                            boundary=boundary, vocab=vocab,
                             correct=correct, one_sided=one_sided)
 
     return df
@@ -120,7 +118,9 @@ def calculate_measures(df, measures=None, freq=False,
     :param float disc: discounting (or smoothing) parameter for O11 == 0 (and O21 == 0)
     :param bool signed: enforce negative values for rows with O11 < E11?
     :param float alpha: CLR: significance level
+    :param str boundary: exact CI boundary of [poisson] distribution or [normal] approximation?
     :param str correct: CLR: correction type repeated tests (None|"Bonferroni"|"Sidak")
+    :param int vocab: CLR: size of vocabulary (number of comparisons for correcting alpha)
     :param bool one_sided: CLR: calculate one- or two-sided confidence interval
 
     :return: association measures
@@ -382,8 +382,34 @@ def binomial_likelihood(df, **kwargs):
 # CONSERVATIVE ESTIMATES #
 ##########################
 
-def conservative_log_ratio(df, disc=.5, alpha=.01,
-                           correct='Bonferroni', one_sided=False, **kwargs):
+def get_poisson_ci_boundary(alpha, O11, N1, O21, N2):
+    """
+    Get the lower (if O11 / N1 >= O21 / N2) or upper (else) bound of
+    the CI of a Poisson distribution
+
+    :param float alpha: sig. level
+    :param int O11:
+    :param int N1:
+    :param int O21:
+    :param int N2:
+    """
+
+    if (O11 / N1) >= (O21 / N2):
+        lower = beta.ppf(alpha, O11, O21 + 1)
+        boundary = max(np.log2((N2 / N1) * lower / (1 - lower)), 0)
+    else:
+        upper = beta.ppf(1 - alpha, O11 + 1, O21)
+        boundary = min(np.log2((N2 / N1) * upper / (1 - upper)), 0)
+
+    return boundary
+
+
+BOUNDARY = np.vectorize(get_poisson_ci_boundary)
+
+
+def conservative_log_ratio(df, disc=.5, alpha=.001, boundary='normal',
+                           correct='Bonferroni', vocab=None,
+                           one_sided=False, **kwargs):
     """
     Calculate conservative log-ratio, i.e. the binary logarithm of the
     lower bound of the confidence interval of relative risk at the
@@ -392,7 +418,9 @@ def conservative_log_ratio(df, disc=.5, alpha=.01,
     :param DataFrame df: pd.DataFrame with columns O11, O12, O21, O22
     :param float disc: discounting (or smoothing) parameter for O11 == 0 and O21 == 0
     :param float alpha: significance level
+    :param str boundary: exact CI boundary of [poisson] distribution or [normal] approximation?
     :param str correct: correction type for several tests (None | "Bonferroni" | "Sidak")
+    :param int vocab: size of vocabulary (number of comparisons for correcting alpha)
     :param bool one_sided: calculate one- or two-sided confidence interval
 
     :return: conservative log-ratio
@@ -400,46 +428,51 @@ def conservative_log_ratio(df, disc=.5, alpha=.01,
 
     """
 
-    # questionable discounting according to Hardie (2014)
-    O11_disc = df['O11'].where(df['O11'] != 0, disc)
-    O21_disc = df['O21'].where(df['O21'] != 0, disc)
-
-    # compute natural logarithm of relative risk
-    # so we can use estimate for standard error of log(RR)
-    R1 = df['O11'] + df['O12']
-    R2 = df['O21'] + df['O22']
-    lrr = np.log((O11_disc / O21_disc) / (R1 / R2))
+    # correction of alpha for two-sided tests
+    if not one_sided:
+        alpha /= 2
 
     # Bonferroni or Sidak correction
-    if isinstance(correct, str):
-        vocab = (df['O11'] >= 1).sum()
-        if correct == 'Bonferroni':
-            alpha /= vocab
-        elif correct == "Sidak":  # TODO: improve computation
-            alpha = 1 - (1 - alpha) ** (1 / vocab)
+    if correct is not None:
+        if isinstance(correct, str):
+            vocab = (df['O11'] >= 1).sum() if vocab is None else vocab
+            if correct == 'Bonferroni':
+                alpha /= vocab
+            elif correct == "Sidak":
+                alpha = 1 - (1 - alpha) ** (1 / vocab)
+                # more stable alternative: alpha = 1 - exp(log(1 - alpha) / vocab)
+                # doesn't make any difference in practice though, e.g. alpha = .00001, vocab = 10**10
+            else:
+                raise ValueError('parameter "correct" should either be "Bonferroni" or "Sidak".')
         else:
-            raise ValueError('parameter "correct" should either be "Bonferroni" or "Sidak".')
-    elif correct is None:
-        pass
-    else:
-        raise ValueError('parameter "correct" should either be None or a string.')
+            raise ValueError('parameter "correct" should either be None or a string.')
 
-    # get respective quantile of normal distribution
-    if not one_sided:
-        alpha /= 2
-    # z_factor = NormalDist().inv_cdf(1 - alpha)
-    z_factor = norm.ppf(1 - alpha)
+    # CONFIDENCE INTERVAL
 
-    # asymptotic standard deviation of log(RR) according to Wikipedia
-    lrr_sd = np.sqrt(1/O11_disc + 1/O21_disc - 1/R1 - 1/R2)
+    # Poisson approximation (Evert 2022)
+    if boundary == 'poisson':
+        tmp = df[['O11', 'O12', 'O21', 'O22']].copy()
+        tmp['N1'] = tmp['O11'] + tmp['O12']
+        tmp['N2'] = tmp['O21'] + tmp['O22']
+        clrr = BOUNDARY(alpha, tmp['O11'], tmp['N1'], tmp['O21'], tmp['N2'])
 
-    # calculate and apply appropriate boundary
-    ci_min = (lrr - lrr_sd * z_factor).clip(lower=0)
-    ci_max = (lrr + lrr_sd * z_factor).clip(upper=0)
-    clrr = ci_min.where(lrr >= 0, ci_max)
-
-    # adjust to binary logarithm
-    clrr /= np.log(2)
+    # Normal approximation (Hardie 2014)
+    elif boundary == 'normal':
+        R1 = df['O11'] + df['O12']
+        R2 = df['O21'] + df['O22']
+        # - questionable discounting according to Hardie (2014)
+        O11_disc = df['O11'].where(df['O11'] != 0, disc)
+        O21_disc = df['O21'].where(df['O21'] != 0, disc)
+        # - compute natural logarithm of relative risk so we can use estimate for standard error of log(RR)
+        lrr = np.log((O11_disc / O21_disc) / (R1 / R2))
+        # - asymptotic standard deviation of log(RR) according to Wikipedia
+        lrr_sd = np.sqrt(1/O11_disc + 1/O21_disc - 1/R1 - 1/R2)
+        # - calculate and apply appropriate boundary
+        z_factor = norm.ppf(1 - alpha)
+        ci_min = (lrr - lrr_sd * z_factor).clip(lower=0)
+        ci_max = (lrr + lrr_sd * z_factor).clip(upper=0)
+        clrr = ci_min.where(lrr >= 0, ci_max)
+        clrr /= np.log(2)           # adjust to binary logarithm
 
     return clrr
 
diff --git a/association_measures/version.py b/association_measures/version.py
index 25c58fb..3f4b104 100644
--- a/association_measures/version.py
+++ b/association_measures/version.py
@@ -2,5 +2,5 @@
 Association measures are mathematical formulae that interpret cooccurrence frequency data.
 """
 
-VERSION = (0, 2, 1)
+VERSION = (0, 2, 2)
 __version__ = '.'.join(map(str, VERSION))
diff --git a/performance.py b/performance.py
index 5e283e9..17f0aba 100755
--- a/performance.py
+++ b/performance.py
@@ -5,92 +5,99 @@
 import timeit
 import sys
 
-# Number of iterations
+
+# number of iterations
 iterations = 1000
 if len(sys.argv) > 1:
     iterations = int(sys.argv[1])
 
+
 # code snippet to be executed only once
 setup = """
 import pandas as pd
 import association_measures.frequencies as fq
 import association_measures.measures as am
 
-df = pd.read_csv('tests/brown.csv')
+df = pd.read_csv('tests/data/brown.csv')
 
 df = df.join(fq.observed_frequencies(df))
 df = df.join(fq.expected_frequencies(df))
 """
 
+
 # code snippet whose execution time is to be measured
 codes = [
     {
         'name': 'contingency_table',
-        'code': '''
-fq.observed_frequencies(df)
-        '''
+        'code': 'fq.observed_frequencies(df)'
     },
     {
         'name': 'expected_frequencies',
-        'code': '''
-fq.expected_frequencies(df)
-        '''
+        'code': 'fq.expected_frequencies(df)'
     },
+    # asymptotic hypothesis tests
     {
         'name': 'z_score',
-        'code': '''
-df['am'] = am.z_score(df)
-        '''
+        'code': 'am.z_score(df)'
     },
     {
         'name': 't_score',
-        'code': '''
-df['am'] = am.t_score(df)
-        '''
+        'code': 'am.t_score(df)'
     },
     {
-        'name': 'mutual_information',
-        'code': '''
-df['am'] = am.mutual_information(df)
-        '''
+        'name': 'log_likelihood',
+        'code': 'am.log_likelihood(df)'
     },
     {
-        'name': 'dice',
-        'code': '''
-df['am'] = am.dice(df)
-        '''
+        'name': 'simple_ll',
+        'code': 'am.simple_ll(df)'
     },
+    # point estimates of association strength
     {
-        'name': 'log_likelihood',
-        'code': '''
-df['am'] = am.log_likelihood(df)
-        '''
+        'name': 'min_sensitivity',
+        'code': 'am.min_sensitivity(df)'
+    },
+    {
+        'name': 'liddell',
+        'code': 'am.liddell(df)'
+    },
+    {
+        'name': 'dice',
+        'code': 'am.dice(df)'
     },
     {
         'name': 'log_ratio',
-        'code': '''
-df['am'] = am.log_ratio(df)
-        '''
+        'code': 'am.log_ratio(df)'
+    },
+    # likelihood measures
+    # ~2.5s for a ~25,000 rows on 8 threads
+    # {
+    #     'name': 'hypergeometric_likelihood',
+    #     'code': 'am.hypergeometric_likelihood(df)'
+    # },
+    {
+        'name': 'binomial_likelihood',
+        'code': 'am.binomial_likelihood(df)'
     },
+    # conservative estimates
     {
         'name': 'conservative_log_ratio',
-        'code': '''
-df['am'] = am.conservative_log_ratio(df)
-        '''
+        'code': 'am.conservative_log_ratio(df)'
     },
+    # ~1.5s for a ~25,000 rows on 8 threads
+    # {
+    #     'name': 'conservative_log_ratio_poisson',
+    #     'code': 'am.conservative_log_ratio(df, boundary="poisson")'
+    # },
+    # information theory
     {
-        'name': 'binomial_likelihood',
-        'code': '''
-df['am'] = am.binomial_likelihood(df)
-        '''
+        'name': 'mutual_information',
+        'code': 'am.mutual_information(df)'
+    },
+    {
+        'name': 'local_mutual_information',
+        'code': 'am.local_mutual_information(df)'
     },
-    # too slow (one iteration > 3 sec)
-    #     {
-    #         'name': 'hypergeometric_likelihood',
-    #         'code': '''
-    # df['am'] = am.hypergeometric_likelihood(df)
-    #         '''
-    #     },
 ]
 
 for code in codes:
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..b0471b7
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,3 @@
+[build-system]
+requires = ["setuptools", "wheel"]
+build-backend = "setuptools.build_meta:__legacy__"
\ No newline at end of file
diff --git a/pytest.ini b/pytest.ini
new file mode 100644
index 0000000..0e89e09
--- /dev/null
+++ b/pytest.ini
@@ -0,0 +1,21 @@
+[pytest]
+markers =
+        binomial
+        choose
+        invalid
+        zero
+        z_score
+        t_score
+        log_likelihood
+        simple_ll
+        min_sensitivity
+        liddell
+        dice
+        log_ratio
+        hypergeometric_likelihood
+        binomial_likelihood
+        conservative_log_ratio
+        mi
+        local_mi
+        score
+        gold
\ No newline at end of file
diff --git a/setup.py b/setup.py
index 4851ea2..155edb9 100644
--- a/setup.py
+++ b/setup.py
@@ -12,11 +12,10 @@
 NAME = 'association-measures'
 DESCRIPTION = 'Statistical association measures for Python pandas'
 URL = 'https://github.com/fau-klue/pandas-association-measures'
-EMAIL = 'markus@martialblog.de'
-AUTHOR = 'Markus Opolka'
-REQUIRES_PYTHON = '>=3.6'
-VERSION = None
+EMAIL = 'philipp.heinrich@fau.de'
+AUTHOR = 'Philipp Heinrich & Markus Opolka'
 
+REQUIRES_PYTHON = '>=3.6'
 REQUIRED = [
     'wheel',
     'pandas',
@@ -37,12 +36,7 @@
     extensions = [Extension('association_measures.binomial', ['association_measures/binomial.c'])]
 
 
-LONG_DESCRIPTION = """
-Statistical association measures for Python pandas.
-
-Association measures are mathematical formulae that interpret cooccurrence frequency data. For each pair of words extracted from a corpus, they compute an association score, a single real value that indicates the amount of (statistical) association between the two words.
-"""
-
+# read long description from README
 try:
     with io.open(os.path.join(here, 'README.md'), encoding='utf-8') as f:
         long_description = '\n' + f.read()
@@ -50,13 +44,9 @@
     long_description = DESCRIPTION
 
 # Load the package's version.py module as a dictionary.
-about = {}
-if not VERSION:
-    project_slug = NAME.lower().replace("-", "_").replace(" ", "_")
-    with open(os.path.join(here, project_slug, 'version.py')) as f:
-        exec(f.read(), about)
-else:
-    about['__version__'] = VERSION
+version = {}
+with open(os.path.join(here, 'association_measures', 'version.py')) as f:
+    exec(f.read(), version)
 
 
 class UploadCommand(Command):
@@ -90,7 +80,7 @@ def run(self):
         os.system('twine upload dist/*')
 
         self.status('Pushing git tags…')
-        os.system('git tag v{0}'.format(about['__version__']))
+        os.system('git tag v{0}'.format(version['__version__']))
         os.system('git push --tags')
 
         sys.exit()
@@ -98,9 +88,9 @@ def run(self):
 
 setup(
     name=NAME,
-    version=about['__version__'],
+    version=version['__version__'],
     description=DESCRIPTION,
-    long_description=LONG_DESCRIPTION,
+    long_description=long_description,
     author=AUTHOR,
     author_email=EMAIL,
     python_requires=REQUIRES_PYTHON,
diff --git a/tests/conftest.py b/tests/conftest.py
index 78c5b2d..03c0fe1 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -47,7 +47,7 @@ def random_dataframe():
 def zero_dataframe():
     """ Sample DataFrame with lots of zeros """
 
-    df = pd.read_csv("tests/df-zeros.tsv", index_col=0,
+    df = pd.read_csv("tests/data/df-zeros.tsv", index_col=0,
                      sep="\t", quoting=3, keep_default_na=False)
 
     return df
@@ -84,7 +84,7 @@ def ucs_dataframe():
     # 'am.z.score.corr'
 
     """
-    df = pd.read_csv("tests/ucs-gold-100.ds", comment='#', index_col=0,
+    df = pd.read_csv("tests/data/ucs-gold-100.ds", comment='#', index_col=0,
                      sep="\t", quoting=3, keep_default_na=False)
 
     return df
@@ -100,7 +100,7 @@ def log_ratio_dataframe():
     # 'clr'
 
     """
-    df = pd.read_csv("tests/log-ratio-gold.tsv", index_col=0, sep="\t")
+    df = pd.read_csv("tests/data/log-ratio-gold.tsv", index_col=0, sep="\t")
 
     return df
 
@@ -110,6 +110,6 @@ def brown_dataframe():
     """ Sample DataFrame with real data counts from Brown Corpus.
 
     """
-    df = pd.read_csv("tests/brown.csv", index_col=0)
+    df = pd.read_csv("tests/data/brown.csv", index_col=0)
 
     return df
diff --git a/tests/brown.csv b/tests/data/brown.csv
similarity index 100%
rename from tests/brown.csv
rename to tests/data/brown.csv
diff --git a/tests/cqpweb-gold-clr.tsv b/tests/data/cqpweb-gold-clr.tsv
similarity index 100%
rename from tests/cqpweb-gold-clr.tsv
rename to tests/data/cqpweb-gold-clr.tsv
diff --git a/tests/cqpweb-gold-lr.tsv b/tests/data/cqpweb-gold-lr.tsv
similarity index 100%
rename from tests/cqpweb-gold-lr.tsv
rename to tests/data/cqpweb-gold-lr.tsv
diff --git a/tests/df-zeros.tsv b/tests/data/df-zeros.tsv
similarity index 100%
rename from tests/df-zeros.tsv
rename to tests/data/df-zeros.tsv
diff --git a/tests/log-ratio-create.R b/tests/data/log-ratio-create.R
similarity index 61%
rename from tests/log-ratio-create.R
rename to tests/data/log-ratio-create.R
index 5d02e82..7102ece 100644
--- a/tests/log-ratio-create.R
+++ b/tests/data/log-ratio-create.R
@@ -1,6 +1,6 @@
 # preprocess cqpweb data
 # convert to dataframe with columns
-# lemma, f, f1, f2, N, lr, clr, clr2
+# lemma, f, f1, f2, N, lr, clr, lrc, lrc.normal, lrc.positive
 
 # NB: keyword measures implemented below have different notation:
 # f1 ~ O11 = f
@@ -68,7 +68,7 @@ LogRatio <- function (f1, f2, N1, N2, length.f1=NULL, conf.level=NULL, correct=T
       z.factor <- -qnorm(alpha / 2) # number of s.d. for asymptotic two-sided conf.int
       lrr <- log((f1 / N1) / (f2.disc / N2))
       lrr.sd <- sqrt(1/f1 + 1/f2.disc - 1/N1 - 1/N2) # asymptotic s.d. of log(RR) according to Wikipedia
-      print(head(cbind(lrr / log(2), lrr.sd, z.factor)))
+      # print(head(cbind(lrr / log(2), lrr.sd, z.factor)))
       lrr <- ifelse(lrr >= 0, 
                     pmax(lrr - z.factor * lrr.sd, 0), # log(RR) >= 0 -> lower bound of conf.int (clamped to >= 0)
                     pmin(lrr + z.factor * lrr.sd, 0)) # log(RR) < 0  -> upper bound of conf.int (clamped to <= 0)
@@ -84,6 +84,81 @@ LogRatio <- function (f1, f2, N1, N2, length.f1=NULL, conf.level=NULL, correct=T
   # }
   lrr / log(2) # adjust to log2 units
 }
+################################################################################
+# Evert 2022: Keyness @ DH
+binom.confint <- function(k, n, conf.level=0.95, correct=FALSE,
+                          alternative=c("two.sided", "less", "greater")) {
+  alternative <- match.arg(alternative)
+  stopifnot(all(k >= 0) && all(k <= n) && all(n >= 1))
+  stopifnot(all(conf.level >= 0) && all(conf.level <= 1))
+  
+  ## significance level for underlying hypothesis test (with optional Bonferroni correction)
+  alpha <- if (alternative == "two.sided") (1 - conf.level) / 2 else (1 - conf.level)
+  if (correct) alpha <- alpha / length(k) # Bonferroni correction
+  alpha <- rep_len(alpha, length(k))      # needs to be vector for safe.qbeta() 
+  
+  ## Clopper-Pearson method: invert binomial test (using incomplete Beta function)
+  lower <- safe.qbeta(alpha, k, n - k + 1)
+  upper <- safe.qbeta(alpha, k + 1, n - k, lower.tail=FALSE)
+  switch(alternative,
+         two.sided = data.frame(lower = lower, upper = upper),
+         less      = data.frame(lower = 0,     upper = upper),
+         greater   = data.frame(lower = lower, upper = 1))
+}
+
+## safely compute qbeta even for shape parameters alpha == 0 or beta == 0
+safe.qbeta <- function (p, shape1, shape2, lower.tail=TRUE) {
+  stopifnot(length(p) == length(shape1) && length(p) == length(shape2))
+  is.0 <- shape1 <= 0
+  is.1 <- shape2 <= 0
+  ok <- !(is.0 | is.1)
+  x <- numeric(length(p))
+  x[ok] <- qbeta(p[ok], shape1[ok], shape2[ok], lower.tail=lower.tail) # shape parameters are valid
+  x[is.0 & !is.1] <- 0 # density concentrated at x = 0 (for alpha == 0)
+  x[is.1 & !is.0] <- 1 # density concentrated at x = 1 (for beta == 0)
+  x[is.0 & is.1] <- NA # shouldn't happen in our case (alpha == beta == 0)
+  x
+}
+
+LRC <- function (f1, f2, N1, N2, conf.level=.95, correct=TRUE) {
+  stopifnot(length(f1) == length(f2))
+  stopifnot(all(f1 + f2 >= 1))
+  
+  ## exact confidence interval from conditional Poisson test (two-sided)
+  tau <- binom.confint(f1, f1 + f2, conf.level=conf.level, correct=correct, alternative="two.sided")
+  ifelse(f1 / N1 >= f2 / N2, 
+         pmax(log2( (N2 / N1) * tau$lower / (1 - tau$lower) ), 0),  # p1 >= p2 -> use lower bound (clamped to >= 0)
+         pmin(log2( (N2 / N1) * tau$upper / (1 - tau$upper) ), 0))  # p1 < p2  -> use upper bound (clamped to <= 0)
+}
+
+PositiveLRC <- function (f1, f2, N1, N2, conf.level=.95, correct=TRUE) {
+  stopifnot(length(f1) == length(f2))
+  stopifnot(all(f1 + f2 >= 1))
+  
+  ## exact confidence interval from conditional Poisson test (one-sided)
+  tau <- binom.confint(f1, f1 + f2, conf.level=conf.level, correct=correct, alternative="greater")
+  log2( (N2 / N1) * tau$lower / (1 - tau$lower) )
+}
+
+ApproxLRC <- function (f1, f2, N1, N2, conf.level=.95, correct=TRUE) {
+  stopifnot(length(f1) == length(f2))
+  stopifnot(all(f1 >= 1))
+  
+  alpha <- 1 - conf.level                  # desired significance level 
+  if (correct) alpha <- alpha / length(f1) # Bonferroni correction
+  
+  ## approximate confidence interval based on asymptotic standard deviation of log(rr)
+  f2.disc <- pmax(f2, 0.5) #  with Hardie's (2014) questionable discounting
+  lrr <- log((f1 / N1) / (f2.disc / N2))
+  lrr.sd <- sqrt(1/f1 + 1/f2.disc - 1/N1 - 1/N2) # asymptotic s.d. of log(RR) according to Wikipedia
+  z.factor <- -qnorm(alpha / 2)                  # number of s.d. for asymptotic two-sided conf.int
+  lrr <- ifelse(lrr >= 0, 
+                pmax(lrr - z.factor * lrr.sd, 0), # log(RR) >= 0 -> use lower bound (clamped to >= 0)
+                pmin(lrr + z.factor * lrr.sd, 0)) # log(RR) < 0  -> use upper bound (clamped to <= 0)
+  
+  lrr / log(2) # adjust to log2 units
+}
+
 ################################################################################
 
 library(tidyverse)
@@ -95,7 +170,7 @@ library(tidyverse)
 # f1 = R1
 # f2 = C1
 # N
-# lr, lr2, clr, clr2
+# lr, lr2, clr
 
 clr <- read_tsv("cqpweb-gold-clr.tsv", skip=3)
 names(clr) <- c('rank', 'lemma', 'f2', 'E11', 'f', 'texts', 'clr')
@@ -163,6 +238,14 @@ res$clr <- LogRatio(
   f1 = res$f, f2 = res$f2 - res$f, N1 = res$f1, N2 = res$N - res$f1,
   length.f1 = NULL, conf.level = .99
 )
+
+# "new" measures / implementations from DH
+res <- res %>% mutate(
+  lrc = LRC(f1 = f, f2 = f2 - f, N1 = f1, N2 = N - f1),
+  lrc.positive = PositiveLRC(f1 = f, f2 = f2 - f, N1 = f1, N2 = N - f1),
+  lrc.normal = ApproxLRC(f1 = f, f2 = f2 - f, N1 = f1, N2 = N - f1),
+)
+
 res %>%
   select(-c("lr.cqpweb", "clr.cqpweb")) %>%
   write_tsv("log-ratio-gold.tsv")
diff --git a/tests/data/log-ratio-gold.tsv b/tests/data/log-ratio-gold.tsv
new file mode 100644
index 0000000..664545e
--- /dev/null
+++ b/tests/data/log-ratio-gold.tsv
@@ -0,0 +1,600 @@
+lemma	f	f1	f2	N	lr	clr	lrc	lrc.positive	lrc.normal
+eingebracht	1189	168329	2157	19720567	7.156575955874566	6.888131619986817	6.910068549501856	6.9206299783908864	6.9112561373666805
+unionsgeführt	49	168329	88	19720567	7.189213818656465	5.856503097986011	5.941562136184079	5.994636950864576	5.971306385306486
+Befragung	150	168329	349	19720567	6.452100263355738	5.7806986388180706	5.821970068053486	5.849267895502715	5.8385349812543765
+Unterrichtung	198	168329	512	19720567	6.194642064591488	5.631221538846797	5.665705265013545	5.688700963467937	5.679756098895043
+Menschenrechtsbeauftragte	22	168329	33	19720567	7.859906193403504	5.566437053277636	5.7600897023524364	5.846604066211909	5.764002655902978
+Beauftragte	105	168329	264	19720567	6.261268755785273	5.480397187091911	5.521061539662923	5.553362462586248	5.547663565061763
+Gegenäußerung	22	168329	35	19720567	7.618898093899711	5.446229288176789	5.596316330905679	5.681154204866727	5.633388824966707
+Entwurf	1178	168329	4564	19720567	5.3366637593383235	5.127122404639904	5.141828566151466	5.150299071025225	5.1451728607335285
+-eingebrachten	15	168329	18	19720567	9.181834288290867	5.25375813796948	5.991330482867978	6.10798857532048	5.592133186588571
+Tourismuspolitischen	15	168329	24	19720567	7.596871787569712	4.978178871804348	5.124418460485449	5.229718965942537	5.203760125522678
+Fortsetzung	121	168329	475	19720567	5.311163880595102	4.65729859404674	4.683726251530832	4.711553797692531	4.71362430914471
+Rohstoffstrategie	27	168329	74	19720567	6.060204843889336	4.560465133895129	4.562261772617404	4.6300924503182825	4.689656747770474
+Menschenrechtsbericht	15	168329	30	19720567	6.859906193403504	4.592064343549131	4.604327366024089	4.705431956027296	4.787422342436727
+auffordern	249	168329	1196	19720567	4.932687510003201	4.490621216947366	4.513587650180367	4.532066271896168	4.5287019968715
+CSU-geführt	14	168329	28	19720567	6.859906193403506	4.512463344917716	4.514677178205336	4.62024261002609	4.7146783880048835
+afrikapolitischen	10	168329	18	19720567	7.181834288290867	4.235794337967034	4.236153388286578	4.369159989792686	4.489574146014556
+Behindertenbeauftragte	19	168329	57	19720567	5.859906193403504	4.114865723893552	4.064868628184806	4.148175864005812	4.265188205209094
+Drogenbeauftragte	10	168329	20	19720567	6.859906193403506	4.082357714502714	4.011790653048941	4.143278091071637	4.321623213852323
+Löning	12	168329	29	19720567	6.357405852874322	4.015723850944875	3.9159390729710513	4.030251560588259	4.217442639209327
+seitens	124	168329	779	19720567	4.458751407365567	3.8506798467384367	3.870614479615809	3.8969457599236415	3.9030607670712207
+Demografiestrategie	22	168329	81	19720567	5.436694762678961	3.8852458913898764	3.8349496218297507	3.909714024319981	4.01889187154979
+Sportbericht	7	168329	10	19720567	8.082298614739953	3.796411027509852	4.0603178799231285	4.234731689446559	4.165608916045259
+Schwarz-Gelb	302	168329	2562	19720567	3.956203875426034	3.5759810982561833	3.5951034470928094	3.6110849729155587	3.6087345113233935
+beabsichtigen	51	168329	306	19720567	4.537978098516143	3.585393872079323	3.5855534848585053	3.6291925716345426	3.6674520404037745
+Rentenversicherungsbericht	10	168329	27	19720567	6.094371447040528	3.619216538285602	3.4275595820543305	3.5560525211080733	3.832433041871259
+Fortschrittsbericht	33	168329	177	19720567	4.7343753113196465	3.5357963832171992	3.51055124734848	3.56743729230872	3.6390451970257867
+Menschenrechtspolitik	23	168329	113	19720567	4.8916150531308435	3.4405617416514462	3.377614878716524	3.449073870659511	3.5655593781612587
+Energiekonzept	44	168329	284	19720567	4.412447216432284	3.3940153462030054	3.3848507369337932	3.4322712545822944	3.481745807735903
+Haltung	137	168329	1202	19720567	3.9013005612508307	3.337776703300237	3.3558536267613928	3.3803250526682573	3.386320164662729
+Gleichstellungsbericht	18	168329	86	19720567	4.942368353595478	3.296128340669709	3.192174193385635	3.2759427236326553	3.4379398848188396
+vonseiten	99	168329	870	19720567	3.8986757635680807	3.235766920738954	3.2502320467840016	3.2795443362783216	3.2928716721078852
+gedenken	53	168329	397	19720567	4.161561893264606	3.2451905670382484	3.2432345021915636	3.2854426805029284	3.324129258702771
+Jahresgutachten	8	168329	22	19720567	6.052551271345901	3.2999147940689717	2.9996966312350524	3.150455553585141	3.5370343065695264
+Rechtsauffassung	22	168329	120	19720567	4.704627967925594	3.239430962654144	3.1646113911010354	3.237763567374792	3.365646975002761
+Gesetzentwurf	1187	168329	14608	19720567	3.3608058626067567	3.173346496222124	3.185515364090636	3.193183469146572	3.1894947504277646
+Antwort	447	168329	5086	19720567	3.484439083736987	3.177222786236435	3.1941767056977723	3.2069826120237197	3.2036872247109343
+Stellungnahme	123	168329	1166	19720567	3.775897256222979	3.18397520695903	3.200683573840786	3.2265710218536334	3.234964964930503
+Beitrittsantrag	6	168329	12	19720567	6.859906193403504	3.2740850397442065	2.967161966558806	3.157351762861816	3.5829773220665735
+Finanzplan	24	168329	144	19720567	4.537978098516143	3.1492662727277914	3.083682822514023	3.152622905469829	3.268893645921815
+Jahresbericht	33	168329	238	19720567	4.224820213256512	3.0599682204984946	3.026456863263389	3.082588965360296	3.160311705349543
+planen	132	168329	1444	19720567	3.546748308143875	2.9798217989855256	2.996430029015802	3.0211888156015316	3.028658373878355
+Breitbandstrategie	10	168329	39	19720567	5.323853293163295	3.0462568023731875	2.7800061631467683	2.9063394605498067	3.2424550922771953
+Fachkräftekonzept	7	168329	20	19720567	5.966821397320017	3.0551555180814147	2.661035309451801	2.8274715133582236	3.305974251157478
+Koordinator	13	168329	62	19720567	4.945636067429389	3.008028081122532	2.819477759920381	2.923731365743853	3.1749388464644106
+Afrika-Konzept	8	168329	27	19720567	5.61197867995992	2.9943627871470997	2.639219484971531	2.788792220211082	3.2198512632104204
+CDU-geführt	10	168329	41	19720567	5.227637977903992	2.9689595755281504	2.6957602738452318	2.821877762245202	3.1635282103944284
+Rahmenprogramm	19	168329	117	19720567	4.493123862731882	2.9363141212038113	2.8297137702065096	2.909774539801016	3.070421901150271
+SPD-geführt	19	168329	118	19720567	4.478477086767481	2.9229448358849135	2.8159736298923455	2.8960115163941063	3.0569425693499044
+Verordnung	124	168329	1443	19720567	3.4488736545388354	2.8656897144303297	2.881410612122338	2.9069895375788266	2.915926748168065
+Entsendung	24	168329	173	19720567	4.2257001736625	2.859700625731848	2.7880051799305545	2.856492331933131	2.9773715022006946
+rot-grün	220	168329	2938	19720567	3.2329361661607736	2.797847259260816	2.8159434647117836	2.83454034335141	2.835326988367864
+Gremienbericht	5	168329	7	19720567	8.181834288290867	2.9854612957273936	3.219920584278789	3.44363461463165	3.433090846864719
+damalig	113	168329	1364	19720567	3.391219081652873	2.7813205667545264	2.79578010780383	2.8226875292767413	2.833858865843905
+bewerten	103	168329	1257	19720567	3.373979211941241	2.735456707150444	2.7485195576193946	2.7768525547538143	2.790460753745949
+beabsichtigt	20	168329	141	19720567	4.262971051016273	2.7638638285580037	2.6620091459995705	2.7390963167975655	2.8930009582552074
+Patientenbeauftragten	6	168329	17	19720567	5.985437075487364	2.8333326471631755	2.3253480725220195	2.5130803060555285	3.1048634037905343
+Aktionsplan	81	168329	970	19720567	3.4037165874583604	2.6830257160514583	2.6913126076135585	2.723796250550149	2.7451079668325926
+Aufforderung	33	168329	300	19720567	3.8436043810744045	2.6976615156289077	2.659574977120034	2.7152798763542827	2.7963761173756416
+Auffassung	159	168329	2264	19720567	3.1331846307341022	2.6225922616123665	2.6395224628328213	2.6616823077496528	2.666576062107672
+Patientenbeauftragte	5	168329	12	19720567	6.374479366233263	2.7377920526212343	2.140451657690925	2.3589600691516557	3.051066082824345
+Reichtumsbericht	20	168329	156	19720567	4.094371447040528	2.6070380994262226	2.5018509679296628	2.578719976576992	2.735160995865134
+Weigerung	10	168329	51	19720567	4.824282283672784	2.6338196197580888	2.335852483428042	2.461178270521471	2.8225119673694747
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+bitten	69	168329	6265	19720567	0.3713092213921057	0	0	-0.3475500787856483	0
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+umgehend	7	168329	200	19720567	2.074804078193029	0	0	-0.757744666341138	0
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+nachgeordnet	5	168329	105	19720567	2.5379780985161426	0	0	-1.0494893621256618	0
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+nachkommen	14	168329	669	19720567	1.3119100190362964	0	0	-0.4949438206344902	0
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+letzt	142	168329	15825	19720567	0.07273937447087707	0	0	-0.41410382360836306	0
+Einvernehmen	9	168329	327	19720567	1.716948239561462	0	0	-0.6766303326226948	0
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+zu	1843	168329	271146	19720567	-0.33112422676470127	-0.18675432339014042	-0.19993758774895773	-0.46019938955399237	-0.19919073531395295
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+ihrerseits	6	168329	157	19720567	2.2064639547995823	0	0	-0.942958009768511	0
+.	6161	168329	960796	19720567	-0.41573469193461454	-0.3378216952921501	-0.3436331500621559	-0.4857825273931369	-0.3445333304585905
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+entscheiden	56	168329	5088	19720567	0.37034490858182006	0	0	-0.4359087144893004	0
+EU	48	168329	4160	19720567	0.43924414493078295	0	0	-0.4391870275633378	0
+Entschließungsantrag	27	168329	1887	19720567	0.7537067895715799	0	0	-0.4651607370992231	0
+darin	39	168329	3167	19720567	0.5342836149584012	0	0	-0.4528910881139715	0
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+bestätigen	25	168329	1698	19720567	0.7955406531398771	0	0	-0.47922994073582337	0
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+Finanzpolitik	10	168329	405	19720567	1.556125445226402	0	0	-0.6782473343127364	0
+räumen	8	168329	274	19720567	1.8046237579023154	0	0	-0.7822861269989515	0
+Linie	23	168329	1520	19720567	0.8356096434021014	0	0	-0.5030257688102001	0
+Bundesaußenminister	9	168329	340	19720567	1.6591437880385997	0	0	-0.733711567597214	0
+beantworten	37	168329	2992	19720567	0.5404171439675602	0	0	-0.476588969868734	0
+zurückweisen	8	168329	277	19720567	1.7884438308468809	0	0	-0.7982392095857508	0
+kündigen	9	168329	342	19720567	1.6504528277745552	0	0	-0.7422962323061166	0
+einsetzen	52	168329	4764	19720567	0.35822208771413633	0	0	-0.4817674089210986	0
+gemacht	6	168329	163	19720567	2.1502479452330343	0	0	-0.9980521691023047	0
+Marokko	7	168329	219	19720567	1.9393406608979098	0	0	-0.8909169682064035	0
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+unterstellen	15	168329	808	19720567	1.135619733308045	0	0	-0.5950658665627968	0
+über	333	168329	44780	19720567	-0.20051386509971958	0	0	-0.5113529170784893	0
+unternehmen	96	168329	10483	19720567	0.10237728305559236	0	0	-0.4980253969925383	0
+politisch	88	168329	9432	19720567	0.12951325316078482	0	0	-0.499826591246144	0
+hierauf	5	168329	116	19720567	2.3874184219407613	0	0	-1.1961947661380814	0
+Kompass	5	168329	116	19720567	2.3874184219407613	0	0	-1.1961947661380814	0
+mündlich	8	168329	286	19720567	1.7409651206799976	0	0	-0.8450664878153004	0
+nicht	1178	168329	181474	19720567	-0.397977847072504	-0.21706619782744915	-0.2343762653594573	-0.56008757251915	-0.23265041406115097
+Hubert	6	168329	168	19720567	2.1050186912400366	0	0	-1.0424092417146253	0
+bekannt	30	168329	2328	19720567	0.6006337063659104	0	0	-0.5457806020438819	0
+lediglich	20	168329	1293	19720567	0.8678175843895094	0	0	-0.5860835903869266	0
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+bisherig	25	168329	1799	19720567	0.7109720888771658	0	0	-0.5634183405470479	0
+positionieren	7	168329	226	19720567	1.8924740558599358	0	0	-0.9370386375979989	0
+Programm	45	168329	4082	19720567	0.3726914182526694	0	0	-0.5377797865513493	0
+maritim	14	168329	752	19720567	1.1397841094007128	0	0	-0.6657284602380491	0
+verantwortlich	21	168329	1407	19720567	0.8155120740450515	0	0	-0.5966904446613843	0
+und	2671	168329	437488	19720567	-0.4869783667805467	-0.36739681660119294	-0.37783874364223136	-0.5938553754520536	-0.3776978930842887
+liefern	23	168329	1614	19720567	0.7477500291294701	0	0	-0.5904660253546599	0
+hinaus	41	168329	3674	19720567	0.39051254760610393	0	0	-0.5688099618197615	0
+nehmen	117	168329	13986	19720567	-0.029305234970188054	0	0	-0.5689922003009903	0
+groß	186	168329	24249	19720567	-0.15546389350012976	0	0	-0.5772126937262886	0
+weisen	20	168329	1333	19720567	0.8231830873979805	0	0	-0.6304844521956144	0
+Abhilfe	5	168329	121	19720567	2.323853293163295	0	0	-1.2582460527956385	0
+darauf	116	168329	13909	19720567	-0.033761470524779985	0	0	-0.575928163791571	0
+Versprechen	26	168329	1962	19720567	0.6414826742700025	0	0	-0.6038733201319069	0
+vehement	6	168329	174	19720567	2.052551271345901	0	0	-1.093897753981839	0
+momentan	12	168329	599	19720567	1.247652001014609	0	0	-0.7401351121603356	0
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+gegeben	8	168329	299	19720567	1.6750308504952212	0	0	-0.91013030378854	0
+halbherzig	5	168329	122	19720567	2.3114695687074627	0	0	-1.2703423091233699	0
+UN-Sicherheitsrat	6	168329	175	19720567	2.0439892578424765	0	0	-1.1023032936772943	0
+Zustimmung	30	168329	2425	19720567	0.540986848388481	0	0	-0.6052079316816908	0
+Rat	22	168329	1553	19720567	0.7390792445410146	0	0	-0.6345193283832737	0
+Wirtschaftspolitik	11	168329	523	19720567	1.3193378120408021	0	0	-0.7810924893331325	0
+…	22	168329	1557	19720567	0.7353148717832604	0	0	-0.6382660868562937	0
+dabei	102	168329	12063	19720567	-0.013718855343486375	0	0	-0.5946601967031055	0
+zuversichtlich	8	168329	301	19720567	1.665149338981257	0	0	-0.9198846942648319	0
+Bekenntnis	10	168329	447	19720567	1.410344818790269	0	0	-0.82249827012975	0
+äußern	19	168329	1258	19720567	0.8328732347064889	0	0	-0.6659190402094779	0
+Rechtsverordnung	6	168329	177	19720567	2.0270161792387635	0	0	-1.1189688504808273	0
+müde	5	168329	124	19720567	2.2870165249829237	0	0	-1.2942347029279617	0
+Kampagne	10	168329	450	19720567	1.4004745747662075	0	0	-0.83227034462911	0
+Anlass	18	168329	1165	19720567	0.8661815188299923	0	0	-0.6820689223768693	0
+Bundes-regierung	9	168329	376	19720567	1.5101949420026044	0	0	-0.8809229556991659	0
+Ebene	38	168329	3430	19720567	0.3799132522838914	0	0	-0.6213711624861461	0
+arbeiten	60	168329	6286	19720567	0.16270692754284408	0	0	-0.6129818029618301	0
+Begründung	19	168329	1270	19720567	0.8189676326812708	0	0	-0.6797513728383913	0
+mitteilen	13	168329	701	19720567	1.134081156842499	0	0	-0.7560269989226913	0
+konzeptionell	5	168329	125	19720567	2.2749436926823488	0	0	-1.3060341186923148	0
+genehmigen	9	168329	378	19720567	1.5023541887854213	0	0	-0.8886770459876525	0
+blockieren	14	168329	794	19720567	1.0599308017114983	0	0	-0.7450112216415273	0
+gewaltsam	5	168329	127	19720567	2.251096950727981	0	0	-1.3293472860249107	0
+daraus	27	168329	2178	19720567	0.5440018861439126	0	0	-0.674014615815721	0
+erteilen	27	168329	2178	19720567	0.5440018861439126	0	0	-0.674014615815721	0
+Bestrebung	5	168329	128	19720567	2.2393197829516276	0	0	-1.3408640831034693	0
+namentlich	18	168329	1204	19720567	0.8179429002998138	0	0	-0.7300450674224563	0
+jetzt	219	168329	31170	19720567	-0.2830051489644249	0	0	-0.6698960546407352	0
+allerdings	54	168329	5670	19720567	0.15946647526241312	0	0	-0.6626776090212182	0
+„	140	168329	18532	19720567	-0.17760154036970868	0	0	-0.6678267797593531	0
+beschließen	61	168329	6651	19720567	0.10458078107097739	0	0	-0.6639659850674389	0
+offenkundig	11	168329	550	19720567	1.2451963492882967	0	0	-0.8545785218503109	0
+aussenden	5	168329	129	19720567	2.227637977903992	0	0	-1.352289659091641	0
+Parlament	56	168329	5976	19720567	0.135879654944797	0	0	-0.6698416955268974	0
+aufgreifen	18	168329	1226	19720567	0.7914264555207383	0	0	-0.7564208933575188	0
+Empfehlung	16	168329	1022	19720567	0.88549160359797785	0	0	-0.7769066092594336	0
+zeigen	84	168329	10137	19720567	-0.04311485574336188	0	0	-0.688229458412255	0
+vor	278	168329	41941	19720567	-0.3676318397259646	0	-0.03580616384266812	-0.7090173028342804	-0.0263653411594967
+zentral	37	168329	3526	19720567	0.30076167683808025	0	0	-0.7155149012949191	0
+trotz	30	168329	2635	19720567	0.41972913184615296	0	0	-0.7260462045659496	0
+wenn	354	168329	55619	19720567	-0.42656672931870104	-0.09575577913876397	-0.13158326659345307	-0.7275278341429826	-0.12425272447973076
+wofür	9	168329	402	19720567	1.411445692587211	0	0	-0.978613882045595	0
+Versuch	15	168329	942	19720567	0.9103712603864929	0	0	-0.8188252304231461	0
+hingegen	13	168329	749	19720567	1.0367839554875842	0	0	-0.8526166642797911	0
+müssen	508	168329	84021	19720567	-0.5011222906815493	-0.22514063854310595	-0.25387444003749815	-0.7506958742751695	-0.24891444062499332
+Außenpolitik	15	168329	954	19720567	0.8918154413582491	0	0	-0.8372683294844893	0
+Staatsminister	11	168329	576	19720567	1.1772307547382523	0	0	-0.9219718041406721	0
+schlagen	20	168329	1490	19720567	0.6602338485671406	0	0	-0.792639067230686	0
+zurzeit	16	168329	1059	19720567	0.8333827508837393	0	0	-0.828715254646829	0
+damals	46	168329	4870	19720567	0.14745395756043314	0	0	-0.7513410698430103	0
+konzentrieren	14	168329	866	19720567	0.9325514952352708	0	0	-0.8715426569646023	0
+erneut	20	168329	1508	19720567	0.6426754771828358	0	0	-0.8101170067246756	0
+unzureichend	11	168329	586	19720567	1.1519196662090647	0	0	-0.9470764709497312	0
+Handlungsfähigkeit	6	168329	198	19720567	1.859906193403505	0	0	-1.2832326069892728	0
+sämtliche	10	168329	502	19720567	1.2393197829516274	0	0	-0.9919125223928226	0
+eigen	65	168329	7758	19720567	-0.027056586574875793	0	0	-0.7690102793581288	0
+versichern	10	168329	503	19720567	1.236390451912956	0	0	-0.9948158717116213	0
+getroffen	6	168329	199	19720567	1.8524116568565807	0	0	-1.2906068970933697	0
+verschieden	31	168329	2891	19720567	0.3323030721246283	0	0	-0.7918374596389812	0
+gegen	99	168329	13213	19720567	-0.18955736604091303	0	0	-0.7796668229093234	0
+Bürokratieabbau	7	168329	269	19720567	1.6338381139236589	0	0	-1.19196414045217	0
+zwischen	76	168329	9567	19720567	-0.10451067971205547	0	0	-0.785580592018044	0
+interessieren	17	168329	1211	19720567	0.7257819133890394	0	0	-0.875870574967333	0
+Gutachter	5	168329	141	19720567	2.094371447040528	0	0	-1.482771649812156	0
+voll	23	168329	1914	19720567	0.49853450151075657	0	0	-0.8386210346624413	0
+Priorität	13	168329	794	19720567	0.9511671734026179	0	0	-0.9376487101002097	0
+Energiepolitik	12	168329	700	19720567	1.0186039394225632	0	0	-0.9674096574503371	0
+kommentieren	6	168329	204	19720567	1.8155120740450517	0	0	-1.3269232812650187	0
+maßgeblich	12	168329	701	19720567	1.0165085214203697	0	0	-0.9694901012696782	0
+vielfältig	13	168329	804	19720567	0.9328120270718052	0	0	-0.9558829040991487	0
+Mandat	26	168329	2318	19720567	0.39795458278769225	0	0	-0.8464828600207706	0
+Vorhaben	18	168329	1352	19720567	0.6482882436612324	0	0	-0.8988427302735917	0
+zeichnen	10	168329	523	19720567	1.1790192726838133	0	0	-1.0516885561349711	0
+umfangreich	12	168329	713	19720567	0.9915980601140382	0	0	-0.9942241868897157	0
+sein	2166	168329	429001	19720567	-0.762595233842554	-0.6296720284440421	-0.6415905032796787	-0.8814016667574571	-0.6411223910052788
+Koalitionsvertrag	31	168329	3036	19720567	0.26095322819183264	0	0	-0.8629727971631845	0
+viert	10	168329	530	19720567	1.1594664752624129	0	0	-1.0710758840865044	0
diff --git a/tests/ucs-gold-100.ds b/tests/data/ucs-gold-100.ds
similarity index 100%
rename from tests/ucs-gold-100.ds
rename to tests/data/ucs-gold-100.ds
diff --git a/tests/log-ratio-gold.tsv b/tests/log-ratio-gold.tsv
deleted file mode 100644
index 3e223d0..0000000
--- a/tests/log-ratio-gold.tsv
+++ /dev/null
@@ -1,600 +0,0 @@
-lemma	f	f1	f2	N	lr	clr
-eingebracht	1189	168329	2157	19720567	7.156575955874566	6.888131619986817
-unionsgeführt	49	168329	88	19720567	7.189213818656465	5.856503097986011
-Befragung	150	168329	349	19720567	6.452100263355738	5.7806986388180706
-Unterrichtung	198	168329	512	19720567	6.194642064591488	5.631221538846797
-Menschenrechtsbeauftragte	22	168329	33	19720567	7.859906193403504	5.566437053277636
-Beauftragte	105	168329	264	19720567	6.261268755785273	5.480397187091911
-Gegenäußerung	22	168329	35	19720567	7.618898093899711	5.446229288176789
-Entwurf	1178	168329	4564	19720567	5.3366637593383235	5.127122404639904
--eingebrachten	15	168329	18	19720567	9.181834288290867	5.25375813796948
-Tourismuspolitischen	15	168329	24	19720567	7.596871787569712	4.978178871804348
-Fortsetzung	121	168329	475	19720567	5.311163880595102	4.65729859404674
-Rohstoffstrategie	27	168329	74	19720567	6.060204843889336	4.560465133895129
-Menschenrechtsbericht	15	168329	30	19720567	6.859906193403504	4.592064343549131
-auffordern	249	168329	1196	19720567	4.932687510003201	4.490621216947366
-CSU-geführt	14	168329	28	19720567	6.859906193403506	4.512463344917716
-afrikapolitischen	10	168329	18	19720567	7.181834288290867	4.235794337967034
-Behindertenbeauftragte	19	168329	57	19720567	5.859906193403504	4.114865723893552
-Drogenbeauftragte	10	168329	20	19720567	6.859906193403506	4.082357714502714
-Löning	12	168329	29	19720567	6.357405852874322	4.015723850944875
-seitens	124	168329	779	19720567	4.458751407365567	3.8506798467384367
-Demografiestrategie	22	168329	81	19720567	5.436694762678961	3.8852458913898764
-Sportbericht	7	168329	10	19720567	8.082298614739953	3.796411027509852
-Schwarz-Gelb	302	168329	2562	19720567	3.956203875426034	3.5759810982561833
-beabsichtigen	51	168329	306	19720567	4.537978098516143	3.585393872079323
-Rentenversicherungsbericht	10	168329	27	19720567	6.094371447040528	3.619216538285602
-Fortschrittsbericht	33	168329	177	19720567	4.7343753113196465	3.5357963832171992
-Menschenrechtspolitik	23	168329	113	19720567	4.8916150531308435	3.4405617416514462
-Energiekonzept	44	168329	284	19720567	4.412447216432284	3.3940153462030054
-Haltung	137	168329	1202	19720567	3.9013005612508307	3.337776703300237
-Gleichstellungsbericht	18	168329	86	19720567	4.942368353595478	3.296128340669709
-vonseiten	99	168329	870	19720567	3.8986757635680807	3.235766920738954
-gedenken	53	168329	397	19720567	4.161561893264606	3.2451905670382484
-Jahresgutachten	8	168329	22	19720567	6.052551271345901	3.2999147940689717
-Rechtsauffassung	22	168329	120	19720567	4.704627967925594	3.239430962654144
-Gesetzentwurf	1187	168329	14608	19720567	3.3608058626067567	3.173346496222124
-Antwort	447	168329	5086	19720567	3.484439083736987	3.177222786236435
-Stellungnahme	123	168329	1166	19720567	3.775897256222979	3.18397520695903
-Beitrittsantrag	6	168329	12	19720567	6.859906193403504	3.2740850397442065
-Finanzplan	24	168329	144	19720567	4.537978098516143	3.1492662727277914
-Jahresbericht	33	168329	238	19720567	4.224820213256512	3.0599682204984946
-planen	132	168329	1444	19720567	3.546748308143875	2.9798217989855256
-Breitbandstrategie	10	168329	39	19720567	5.323853293163295	3.0462568023731875
-Fachkräftekonzept	7	168329	20	19720567	5.966821397320017	3.0551555180814147
-Koordinator	13	168329	62	19720567	4.945636067429389	3.008028081122532
-Afrika-Konzept	8	168329	27	19720567	5.61197867995992	2.9943627871470997
-CDU-geführt	10	168329	41	19720567	5.227637977903992	2.9689595755281504
-Rahmenprogramm	19	168329	117	19720567	4.493123862731882	2.9363141212038113
-SPD-geführt	19	168329	118	19720567	4.478477086767481	2.9229448358849135
-Verordnung	124	168329	1443	19720567	3.4488736545388354	2.8656897144303297
-Entsendung	24	168329	173	19720567	4.2257001736625	2.859700625731848
-rot-grün	220	168329	2938	19720567	3.2329361661607736	2.797847259260816
-Gremienbericht	5	168329	7	19720567	8.181834288290867	2.9854612957273936
-damalig	113	168329	1364	19720567	3.391219081652873	2.7813205667545264
-bewerten	103	168329	1257	19720567	3.373979211941241	2.735456707150444
-beabsichtigt	20	168329	141	19720567	4.262971051016273	2.7638638285580037
-Patientenbeauftragten	6	168329	17	19720567	5.985437075487364	2.8333326471631755
-Aktionsplan	81	168329	970	19720567	3.4037165874583604	2.6830257160514583
-Aufforderung	33	168329	300	19720567	3.8436043810744045	2.6976615156289077
-Auffassung	159	168329	2264	19720567	3.1331846307341022	2.6225922616123665
-Patientenbeauftragte	5	168329	12	19720567	6.374479366233263	2.7377920526212343
-Reichtumsbericht	20	168329	156	19720567	4.094371447040528	2.6070380994262226
-Weigerung	10	168329	51	19720567	4.824282283672784	2.6338196197580888
-zeihen|ziehen	81	168329	1068	19720567	3.252849921831732	2.5351543336015014
-messen|missen	10	168329	53	19720567	4.755569533588769	2.5751186607699483
-Protokollerklärung	8	168329	37	19720567	5.0019251982759325	2.5216385996911317
-Integrationsbeauftragte	5	168329	14	19720567	6.011909286848555	2.5476791587441734
-inwieweit	47	168329	581	19720567	3.3537991133935887	2.408943491892225
-Position	137	168329	2275	19720567	2.895892138643541	2.3487349139060116
-Verhandlungsstrategie	5	168329	15	19720567	5.859906193403506	2.4581009524051467
-erwägen	13	168329	93	19720567	4.238417816657235	2.38119756959182
-Anfrage	89	168329	1378	19720567	3.003603076008252	2.3230720112423424
-Bericht	325	168329	6296	19720567	2.6604452479434277	2.307002649099674
-Demografiebericht	7	168329	32	19720567	5.023404925686385	2.36756433089855
-Reichtumsberichts	7	168329	32	19720567	5.023404925686385	2.36756433089855
-teilen	97	168329	1656	19720567	2.853413822892848	2.2036499684703017
-Bemühung	50	168329	722	19720567	3.1114449603994694	2.2011302592332305
-amtierend	13	168329	102	19720567	4.084612480578199	2.2405662582401993
-beurteilen	40	168329	552	19720567	3.1818342882908675	2.1622821508146735
-fordern	577	168329	13484	19720567	2.376467611403348	2.1126266918162946
-streben	20	168329	210	19720567	3.6119786799599196	2.1519968215354335
-vorgelegt	53	168329	819	19720567	3.006626066041747	2.124606375850438
-23	57	168329	903	19720567	2.9682823544482972	2.1185054415870783
-Gesundheitsforschung	16	168329	151	19720567	3.783090596352674	2.1410036797322847
-Mitglied	153	168329	3092	19720567	2.5961843924448242	2.081384928342509
-Verhandlungsposition	10	168329	71	19720567	4.251096950727981	2.132217575881027
-Leitlinie	32	168329	428	19720567	3.2305495733238954	2.089212480909138
-Drucksache	546	168329	13303	19720567	2.3136618571750334	2.042658278498706
-christlich-liberal	86	168329	1586	19720567	2.7354241627223597	2.046924015941349
-Hightech-Strategie	23	168329	271	19720567	3.429271839073643	2.075577368488618
-Einschätzung	56	168329	925	19720567	2.904048748646709	2.047895206536629
-innerhalb	143	168329	2952	19720567	2.5639366210554964	2.031717682820164
--Zusammenarbeit	5	168329	19	19720567	5.374479366233263	2.1387205549472017
-Artikel	58	168329	982	19720567	2.8661381471150196	2.025541027270064
-Nachhaltigkeitsstrategie	16	168329	161	19720567	3.6799971033885703	2.043921565198047
-Ansicht	43	168329	671	19720567	2.991550199213976	2.0126284065067153
-Waldstrategie	13	168329	116	19720567	3.873845384361379	2.045842644798966
-Schlussfolgerung	37	168329	561	19720567	3.035936557495005	1.9795494077022437
-gemäß	70	168329	1329	19720567	2.6911266426294547	1.928578157669906
-Familienbericht	7	168329	41	19720567	4.57979827421077	2.0019992645376483
-jetzig	74	168329	1439	19720567	2.65467432322524	1.9135176622239596
-Vertreter	90	168329	1842	19720567	2.576972230132006	1.9058552071745054
-Jahreswirtschaftsbericht	14	168329	143	19720567	3.656033860037855	1.9084184384438625
-bekennen	79	168329	1631	19720567	2.56377409939348	1.8475929263973787
-antworten	58	168329	1114	19720567	2.6734930691726237	1.8360057355793395
-Beteiligung	90	168329	1941	19720567	2.4976701098626055	1.8274310108404668
-Belang	30	168329	462	19720567	3.0119092868485553	1.839349109363376
-untätig	11	168329	99	19720567	3.859906193403505	1.8737182017538223
-Verhandlungsführung	6	168329	33	19720567	4.689981191961193	1.8868318832541382
-Erkenntnis	87	168329	1908	19720567	2.472334482275395	1.7909069470785441
-geschäftsführend	5	168329	23	19720567	5.011909286848555	1.8721906742090233
-Initiative	137	168329	3397	19720567	2.287282027245592	1.74582909102634
-Verkehrssicherheitsprogramm	6	168329	34	19720567	4.637513772067058	1.8434806888013728
--Gesetzentwurf	7	168329	46	19720567	4.38185889659886	1.8324292841733374
-Agrarbericht	5	168329	24	19720567	4.933906774847282	1.8122020368737968
-Untätigkeit	12	168329	124	19720567	3.637513772067057	1.7510422178281855
-gegenüber	176	168329	4733	19720567	2.1654691568175624	1.6885937063795426
-Haushaltsjahr	21	168329	299	19720567	3.1332825434587575	1.7277810918492973
-versäumen	20	168329	280	19720567	3.159466475262413	1.7183259379256905
-abgestimmt	18	168329	241	19720567	3.2289312949255122	1.7071532265930867
-Aktivität	39	168329	741	19720567	2.6899811919611927	1.6683048858495768
-inwiefern	16	168329	207	19720567	3.282477365367756	1.666101177986643
-weigern	19	168329	271	19720567	3.1305537833471746	1.6530189070848282
-unterstützen	234	168329	7125	19720567	1.9797732708878295	1.567199254481049
-Kreativwirtschaft	14	168329	173	19720567	3.3543781601767537	1.622980265985836
-Stand	46	168329	979	19720567	2.5177348786087594	1.579810731686608
-Kenntnis	92	168329	2443	19720567	2.1844093258074966	1.524507340531018
-tatenlos	10	168329	104	19720567	3.62724543661323	1.5614175386785685
-vertreten	69	168329	1737	19720567	2.2645270767370107	1.5016680876554487
-Bestreben	9	168329	88	19720567	3.7260504466687143	1.541061830439839
-kohärent	10	168329	106	19720567	3.5968717875697114	1.533114177598854
-wann	57	168329	1405	19720567	2.2961914263863883	1.456465084632074
-erwarten	114	168329	3386	19720567	2.0168391746264978	1.4252854707055282
-beauftragen	18	168329	285	19720567	2.9691352631582633	1.4567523562234435
-Kenntnisstand	8	168329	74	19720567	3.8155120740450514	1.4904060016994976
-erklärt	13	168329	171	19720567	3.2565651633674944	1.4645760704008606
-Versagen	38	168329	855	19720567	2.433641438701407	1.403050935637703
-die	39632	168329	1811869	19720567	1.3771442299443897	1.3495044156139742
-Bundestag	286	168329	10267	19720567	1.7348088785778724	1.362637616314024
-ignorieren	34	168329	740	19720567	2.4838446613826646	1.3934467856017037
-bereit	93	168329	2794	19720567	1.9997870800025694	1.3449314253975628
-Jahresabrüstungsbericht	5	168329	31	19720567	4.481394570149775	1.4485030974208681
-bewaffnet	33	168329	734	19720567	2.4510296787513353	1.3448028265456404
-Absicht	24	168329	476	19720567	2.6246897317094735	1.3237650923252187
-Hochdruck	8	168329	81	19720567	3.670081634523488	1.3570591185018355
-prüfen	76	168329	2268	19720567	2.0098016238865637	1.285278890373776
-Berufsbildungsbericht	8	168329	82	19720567	3.650452827774555	1.3389744524310936
-Tourismuspolitik	5	168329	33	19720567	4.374479366233263	1.3591095184816238
-Armutszeugnis	14	168329	215	19720567	3.0162094242821804	1.2995137657447495
-ermächtigen	8	168329	83	19720567	3.6310875029076244	1.3211130824425625
-Appell	26	168329	552	19720567	2.521426922252295	1.2737248100607728
-Altenbericht	7	168329	65	19720567	3.809280120333537	1.3242097570370308
-Sicht	121	168329	4153	19720567	1.801489507178183	1.228656187176223
-vorliegend	108	168329	3706	19720567	1.8018142243154918	1.1954592610042367
-Kernanliegen	6	168329	50	19720567	3.9854370754873636	1.282541145195491
-ergreifen	42	168329	1142	19720567	2.1489358077702434	1.1725699684545796
-Brüssel	39	168329	1049	19720567	2.1651688346265967	1.1517264895493193
-derzeitig	32	168329	799	19720567	2.2768234259005715	1.156318159416506
-sechst	12	168329	183	19720567	3.0270161792387635	1.1723086620358454
-vorherig	15	168329	266	19720567	2.7952532350612516	1.1444585320498881
-von	2948	168329	153048	19720567	1.1898625511031617	1.075359223902171
-Plan	36	168329	965	19720567	2.1702964084631646	1.1153932144725514
-Krisenmanagement	9	168329	114	19720567	3.315585677179694	1.1584428999526786
-Maßnahme	186	168329	7623	19720567	1.538559947703658	1.0777471621359023
-Auftrag	61	168329	1979	19720567	1.8852565259482608	1.077631257964687
-setzen	221	168329	9452	19720567	1.4755375237402357	1.0530503846203658
-Angela	24	168329	557	19720567	2.3868769713654854	1.090946670729894
-folgen	78	168329	2741	19720567	1.7664716990551395	1.0531652230931365
-aktiv	68	168329	2309	19720567	1.817442101143451	1.053071720497801
-nachdrücklich	15	168329	276	19720567	2.7388907924421395	1.0898805370810454
-Hausaufgabe	18	168329	369	19720567	2.574503974541257	1.0735953641734972
-sich	1613	168329	86609	19720567	1.140329588888193	0.9849661643668899
-Engagement	70	168329	2495	19720567	1.745420178386619	0.9925935055809862
-legen	90	168329	3425	19720567	1.6482882436612325	0.9850031827571729
-Forschungsagenda	7	168329	78	19720567	3.5175139959564268	1.0570672362815958
-zehnt	8	168329	101	19720567	3.320747382295474	1.0324219356462179
-Ressort	24	168329	599	19720567	2.2774505482929235	0.983561473567385
-dies	2878	168329	165678	19720567	1.0380158961028314	0.9222176806170624
-auf	1988	168329	113048	19720567	1.0560284594866987	0.9163139720234769
-daher	142	168329	6163	19720567	1.4538659108244136	0.9267693576866378
-Politik	202	168329	9326	19720567	1.3626669448431625	0.9211216595678441
-Verhandlung	71	168329	2642	19720567	1.6815394180745311	0.9344898244064698
-Koalitionsfraktion	81	168329	3134	19720567	1.6237443220813497	0.9247171642442603
-neunt	7	168329	82	19720567	3.4384424249652286	0.9838912019825589
-Konsequenz	57	168329	2062	19720567	1.7234096862259642	0.8892854427476515
-Strategie	44	168329	1471	19720567	1.840568192565039	0.8900386416538376
-Anliegen	49	168329	1699	19720567	1.7863657283855352	0.8861472819312085
-Regierungskoalition	36	168329	1129	19720567	1.9357535091739126	0.8838075161158723
-Rüstungsexport	21	168329	524	19720567	2.277809026376738	0.8945645994289381
-verfolgen	56	168329	2044	19720567	1.7101590738988228	0.8687241768481107
-Auskunft	24	168329	643	19720567	2.1710730949103962	0.8790281141579519
-Export	28	168329	803	19720567	2.0692086152995093	0.8745442836312578
-vorlegen	116	168329	5118	19720567	1.4295978463501071	0.8464819262282111
-endlich	145	168329	6772	19720567	1.3456750793420085	0.8244990387141922
-durch	499	168329	27948	19720567	1.0783362281145807	0.7981954178707091
-schwarz-rot	10	168329	166	19720567	2.8964320694286187	0.8704636434516535
-beschlossen	20	168329	506	19720567	2.257021784685086	0.840020361998456
-scheinen	43	168329	1499	19720567	1.7783763079069066	0.8174618968420827
-agieren	24	168329	677	19720567	2.0939295125782302	0.8031408075165688
-derzeit	70	168329	2916	19720567	1.5144692638219892	0.7632070647295004
-herantragen	6	168329	68	19720567	3.4906723837377864	0.835278050842031
-entschließen	13	168329	269	19720567	2.560345911544597	0.7946271195521227
-getragen	9	168329	145	19720567	2.942368353595478	0.8047239392394155
-bzw.	111	168329	5248	19720567	1.3276117014066515	0.731960008220401
-geführt	14	168329	306	19720567	2.477436556581092	0.7782500825072428
-belohnen	10	168329	176	19720567	2.8067948569439425	0.7845060726242984
-Eckpunktepapier	7	168329	93	19720567	3.2409963607590115	0.7998829206474906
-Aussage	55	168329	2202	19720567	1.5731594310693915	0.7251617581373772
-Überlegung	26	168329	805	19720567	1.954866393482928	0.7167457806913077
-Gesamtstrategie	7	168329	95	19720567	3.2078294968238117	0.7688049828525989
-haben	3529	168329	246290	19720567	0.7557727651425217	0.6515680055456051
-Ankündigung	24	168329	731	19720567	1.9793022893152625	0.6902625312425151
-Sparpaket	8	168329	124	19720567	3.001925198275933	0.7316407588987797
-bisher	111	168329	5543	19720567	1.2470542955088793	0.6517450241757317
-Ansinnen	9	168329	155	19720567	2.8400066359658003	0.7069111743734341
-Antrag	453	168329	28569	19720567	0.9041696938654483	0.6104088088308263
-offenbar	30	168329	1032	19720567	1.7981299958168153	0.6474339680637151
-vorwerfen	24	168329	750	19720567	1.9410429561289104	0.6525571867514907
-engagieren	34	168329	1237	19720567	1.714948107477768	0.6349507153997066
-vorhat	5	168329	52	19720567	3.62724543661323	0.705684048381628
-laut	39	168329	1507	19720567	1.6256721594225407	0.6181258552199137
-Reaktion	20	168329	582	19720567	2.0474079680699413	0.6341990717491304
-willens	6	168329	76	19720567	3.315585677179695	0.6736142521389615
-Verhalten	43	168329	1742	19720567	1.5557008109213826	0.5967601373119338
-Versäumnis	11	168329	228	19720567	2.557786579596323	0.6383191491782415
-Unfähigkeit	5	168329	53	19720567	3.5968717875697114	0.6782381889724615
-Adresse	13	168329	302	19720567	2.3854202290439184	0.6245804429260597
-richten	45	168329	1863	19720567	1.5236228055390724	0.5864940959342175
-Fehlanzeige	13	168329	303	19720567	2.3804368215296625	0.6197277357618702
-Konzept	60	168329	2725	19720567	1.3868769713654854	0.5762224389292843
-Vorschlag	141	168329	7835	19720567	1.0899394315056838	0.5623370135522331
-Unterstützung	91	168329	4624	19720567	1.221450387716216	0.5640462857134851
-zuvor	29	168329	1029	19720567	1.7521029038689901	0.5822663925264785
-Herbst	20	168329	599	19720567	2.0044147503016307	0.5919190576955006
-Name	43	168329	1782	19720567	1.522128730799016	0.5634603983484043
-Rüstungsexportbericht	6	168329	78	19720567	3.2749436926823488	0.6358708521235178
-unverzüglich	13	168329	309	19720567	2.3508925459156473	0.5909493119067228
-tun	296	168329	18825	19720567	0.8918621574794522	0.5283077667969767
-ausdrücklich	79	168329	3947	19720567	1.2463148621037665	0.540600126488888
-dass	2316	168329	174459	19720567	0.644077740414136	0.5150473705533322
-Vertreterin	11	168329	236	19720567	2.505556620823765	0.5877363272506558
-Absichtserklärung	6	168329	79	19720567	3.255044135244644	0.6173621566777848
-warum	127	168329	7102	19720567	1.0806133785717587	0.5246999373065101
-Zusammenarbeit	77	168329	3866	19720567	1.239091309589698	0.5243017473584151
-loben	17	168329	481	19720567	2.089388039526272	0.5557569478855044
-Koalition	178	168329	10692	19720567	0.9756156047980269	0.5064126056075784
-schweigen	15	168329	398	19720567	2.1855962070870665	0.5509231932211847
-keinerlei	23	168329	764	19720567	1.8501384171546842	0.535223094860138
-diesbezüglich	23	168329	765	19720567	1.8481927728397147	0.5333041290091926
-bezüglich	27	168329	972	19720567	1.7306231764585387	0.51847881773339
-gesamt	69	168329	3448	19720567	1.2460500150178726	0.49090537476371066
-veranlassen	10	168329	208	19720567	2.5524776682112575	0.5394958975861611
-deutsch	361	168329	24543	19720567	0.7941152714743412	0.4651470251954336
-ankündigen	33	168329	1307	19720567	1.589150750505658	0.4941676701203754
-Wiedervereinigung	13	168329	326	19720567	2.270327064611979	0.5123958809897003
-dankenswerterweise	8	168329	142	19720567	2.7938170029457328	0.5333919482663138
-Umsetzung	74	168329	3841	19720567	1.1901592410850623	0.4612605159615145
-Bundeskanzlerin	51	168329	2385	19720567	1.3437426896676523	0.464726476766545
-Vorstellung	32	168329	1270	19720567	1.5861105941892402	0.47417632790621755
-Bundesrat	57	168329	2760	19720567	1.292450411033552	0.4613096119363199
-eindringlich	8	168329	143	19720567	2.783090596352674	0.5231372710855953
-Grundsatz	38	168329	1619	19720567	1.4812120544887197	0.4617511884287381
-sehen	231	168329	15295	19720567	0.8328379502053344	0.42135150763107726
-Planung	23	168329	809	19720567	1.7650826472019114	0.4513011278185033
-Bundesministerin	19	168329	614	19720567	1.8910878486517846	0.4437227357660341
-behaupten	42	168329	1902	19720567	1.3911367101868717	0.4221365526787013
-vernachlässigen	12	168329	297	19720567	2.2900505850725574	0.459830385753958
-schätzen	21	168329	719	19720567	1.805140389972613	0.4296621792224312
-Verdienst	14	168329	385	19720567	2.131985738840306	0.4410971481464986
--Antrag	6	168329	87	19720567	3.1050186912400366	0.47724851765814263
-zusagen	15	168329	433	19720567	2.059437656931141	0.42734619862440587
-Ziel	143	168329	9040	19720567	0.9006742931193316	0.3773578724485298
-handeln	123	168329	7585	19720567	0.937074053925965	0.3726659119073045
-bislang	36	168329	1581	19720567	1.4364400720540804	0.3894132201007918
-Forderung	139	168329	8826	19720567	0.8942049439390516	0.3634247295210442
-national	88	168329	5105	19720567	1.0267285892765055	0.3590382568913812
-liegen	170	168329	11290	19720567	0.8284279619303371	0.3486886557798805
-Sachverständigenrat	11	168329	268	19720567	2.313713262846924	0.4014665497500628
-aktuell	91	168329	5376	19720567	1.0000130773321558	0.34353056065669685
-dazu	276	168329	19977	19720567	0.7024494095584155	0.3262958496277016
-Genehmigung	17	168329	544	19720567	1.90570988301663	0.37532238822305286
-leider	102	168329	6230	19720567	0.9511309534500433	0.33125165353986796
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-:	1330	168329	112995	19720567	0.4682991874284894	0.29765892157526663
-Zeitplan	10	168329	234	19720567	2.3744793662332633	0.36712235305274343
-weiterhin	81	168329	4769	19720567	1.004999341865882	0.30913131831518553
-vorig	7	168329	124	19720567	2.7968963958777047	0.38024808312949415
-Vorbehalt	13	168329	365	19720567	2.1009142929072997	0.34687116595998796
-ihr	845	168329	70668	19720567	0.4912990002764254	0.2768875766344681
-Beschluss	38	168329	1796	19720567	1.3281143517036866	0.30985903540848253
-Wille	27	168329	1122	19720567	1.5180785410784379	0.30824295463603163
-bestärken	6	168329	94	19720567	2.985437075487364	0.36488488994651164
-bereits	159	168329	11070	19720567	0.7592934375110876	0.26339570423248154
-drängen	19	168329	675	19720567	1.750281702229007	0.3050006964531363
-halten	137	168329	9321	19720567	0.7930313496883438	0.25867314306755396
-was	499	168329	40734	19720567	0.5266387864980462	0.2472961974829355
-Verantwortlichkeit	8	168329	163	19720567	2.5837817881292673	0.33200044274619195
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-begründen	29	168329	1282	19720567	1.4267164892092166	0.26021378032085735
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-voran	18	168329	638	19720567	1.7537067895715799	0.26876770921735416
-Lob	12	168329	335	19720567	2.1094783394307366	0.28361352198814715
-Einfluss	25	168329	1046	19720567	1.5079952323004284	0.2507952402456441
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-keine	517	168329	43655	19720567	0.47725499355305667	0.20288971871631195
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-Agenda	24	168329	993	19720567	1.52451583870958	0.241211105200953
-fragen	112	168329	7577	19720567	0.8013345704392055	0.2102709049530032
-Entscheidung	99	168329	6536	19720567	0.8370900599734039	0.20827500866468276
-geplant	27	168329	1184	19720567	1.4386205464594837	0.22956539058288103
-Gegensatz	24	168329	1001	19720567	1.512653942156276	0.22947621915698166
-EU-Ebene	12	168329	344	19720567	2.0698292627777364	0.24485122367113712
-Zeugnis	7	168329	134	19720567	2.6785764286889435	0.26730532245133193
-Markenzeichen	6	168329	100	19720567	2.890279842447024	0.2750716670662693
-insbesondere	109	168329	7471	19720567	0.7822084837963701	0.18311917393015512
-Berechnung	15	168329	497	19720567	1.8539074527820623	0.22557427158454352
-Kurs	18	168329	660	19720567	1.7034017077235142	0.21918070047396343
-gegenwärtig	22	168329	893	19720567	1.5528089034419377	0.21211218648359112
-Meinung	57	168329	3344	19720567	1.0102404664879365	0.18062641721849748
-an	945	168329	86920	19720567	0.35244712221042435	0.14986952939247736
-hierzu	35	168329	1773	19720567	1.2259768435340712	0.1657373675367
-@card@	848	168329	78643	19720567	0.34043683437558	0.1265346517720815
-Anhaltspunkt	8	168329	178	19720567	2.4505152572658035	0.20361516929188767
-hinsichtlich	35	168329	1795	19720567	1.2078294968238117	0.14772086650553
-welche	153	168329	11649	19720567	0.6284496896388203	0.12322817181463348
-Verbraucherpolitik	11	168329	311	19720567	2.0905191215449217	0.18390601706813053
-Verantwortung	108	168329	7731	19720567	0.7186505347924625	0.11698165052043409
-dafür	261	168329	21791	19720567	0.49375149091879333	0.10728336394577115
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-Merkel	36	168329	1914	19720567	1.1548498471920428	0.10993929795094604
-als	636	168329	59763	19720567	0.3212596899881733	0.07412846842901293
-bemühen	25	168329	1146	19720567	1.3731918203728029	0.11733296270425989
-fünft	12	168329	370	19720567	1.961052916860405	0.138388253924317
-Bundesfinanzminister	17	168329	648	19720567	1.6458728396712954	0.11943199498256002
-jedoch	57	168329	3566	19720567	0.91595197516608	0.08678552302523701
-eine	3297	168329	345582	19720567	0.16200582031615404	0.05438797039888408
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-unter	195	168329	16077	19720567	0.512131526936561	0.0648973608641735
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-seit	135	168329	10521	19720567	0.594369280366541	0.05657379068815645
-argumentieren	14	168329	484	19720567	1.7907441688961094	0.1063442953530228
-Information	45	168329	2660	19720567	0.9991640585988759	0.0654921274822369
-steuerpolitisch	6	168329	110	19720567	2.744428975983569	0.13677583810759594
-angesichts	53	168329	3309	19720567	0.9189416637004572	0.059030591915025125
-kritisieren	38	168329	2125	19720567	1.0806188216872556	0.06406345826237406
-erklären	65	168329	4326	19720567	0.8252976702537402	0.049228109782125384
-offiziell	14	168329	492	19720567	1.7663943074803603	0.0824022345964659
-insoweit	12	168329	384	19720567	1.90570988301663	0.08415798699209485
-parlamentarisch	52	168329	3268	19720567	0.9092942203656685	0.04119793927127455
-ersuchen	5	168329	78	19720567	2.9920097294108503	0.12091226182062875
-stets	15	168329	560	19720567	1.6766843693477351	0.051194401015615836
-mit	1132	168329	117896	19720567	0.17132842240179322	0
-konkret	81	168329	5900	19720567	0.6932006655368067	0
-Gespräch	47	168329	2956	19720567	0.908187463980836	0
-begrüßen	45	168329	2802	19720567	0.9228757377229887	0
-Rüstungsexportpolitik	5	168329	81	19720567	2.933906774847282	0.06644417138501431
-eingesetzt	9	168329	246	19720567	2.1410879459475582	0.03190622200635168
-Bundesminister	28	168329	1475	19720567	1.1684119089293843	0
-Abstimmungsverhalten	6	168329	118	19720567	2.6375137720670576	0.03494560853724962
-Entlastung	25	168329	1264	19720567	1.228801911037628	0
-erkennen	50	168329	3344	19720567	0.8181375434518746	0
-verhandeln	23	168329	1143	19720567	1.2541851325155515	0
-stehen	203	168329	18779	19720567	0.34408985372311457	0
-beimessen	6	168329	122	19720567	2.586887698997089	0
-Angabe	15	168329	603	19720567	1.5671244441756593	0
-namens	5	168329	85	19720567	2.8599061934035053	0
-ob	156	168329	13984	19720567	0.39000352400335486	0
-verweigern	18	168329	803	19720567	1.413282351066828	0
-tragen	71	168329	5360	19720567	0.6408740528668492	0
-schriftlich	27	168329	1471	19720567	1.1189386686798026	0
-Finanz	15	168329	610	19720567	1.5500509308167179	0
-neu	206	168329	19552	19720567	0.3066590370298019	0
-Änderung	65	168329	4840	19720567	0.660988988621486	0
-?	512	168329	54584	19720567	0.13731209444692083	0
-appellieren	15	168329	616	19720567	1.5355756083008383	0
-Vorgabe	28	168329	1571	19720567	1.075738768890374	0
-Positionierung	6	168329	125	19720567	2.5500509308167176	0
-Expertenkommission	7	168329	168	19720567	2.336344237346492	0
-hier	406	168329	42775	19720567	0.15452065265761078	0
-Staatssekretär	50	168329	3494	19720567	0.7538929557813856	0
-dankbar	26	168329	1422	19720567	1.1132626853349448	0
-gegebenenfalls	17	168329	755	19720567	1.4198920285934482	0
-mangelnd	14	168329	557	19720567	1.5824527276567477	0
-Zielsetzung	11	168329	375	19720567	1.8115431718421058	0
-,	8794	168329	1108396	19720567	-0.10633999470522687	-0.041606226041686144
-Thema	179	168329	16944	19720567	0.31055710798661484	0
-Handlungsbedarf	19	168329	899	19720567	1.326473993322431	0
-Fragestunde	13	168329	502	19720567	1.6266552565923633	0
-Vorgehen	30	168329	1777	19720567	0.9961328960952642	0
-Vorwurf	24	168329	1293	19720567	1.1353923402835555	0
-Europapolitik	7	168329	172	19720567	2.3009389012152934	0
-befragen	7	168329	174	19720567	2.283556822987057	0
-Haushaltsentwurf	13	168329	510	19720567	1.6032438699823108	0
-ein	63	168329	4890	19720567	0.6002750054588191	0
-stattdessen	22	168329	1156	19720567	1.1721328870985734	0
-Kultur	32	168329	1982	19720567	0.9306477847665321	0
-für	1385	168329	168150	19720567	-0.05188055333473743	0
-klein	77	168329	6330	19720567	0.5163599321872723	0
-Landesregierung	18	168329	858	19720567	1.3155856771796945	0
-Projekt	58	168329	4433	19720567	0.6228198869240235	0
-EU-Kommission	20	168329	1015	19720567	1.223281572859856	0
-Berichtspflicht	5	168329	92	19720567	2.738890792442139	0
-außerordentlich	13	168329	519	19720567	1.5773523368502869	0
-Finanzplanung	10	168329	335	19720567	1.8375383803750505	0
-vorgeschlagen	13	168329	522	19720567	1.5688240654689016	0
-Ignoranz	6	168329	133	19720567	2.4561840073524954	0
-bei	625	168329	73023	19720567	0.003956350099664772	0
-Ziel|Zielen	10	168329	339	19720567	1.8198905145556257	0
-Zusage	13	168329	526	19720567	1.5575308959375431	0
-Rahmen	74	168329	6174	19720567	0.49476603169484384	0
-aus	406	168329	46045	19720567	0.047262550079733484	0
-verpflichten	29	168329	1792	19720567	0.9340704292108954	0
-schreiben	44	168329	3187	19720567	0.7014112552420511	0
-hervor	7	168329	183	19720567	2.2078294968238117	0
-deshalb	171	168329	17384	19720567	0.20654776663571633	0
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-Bilanz	17	168329	825	19720567	1.2891575519020497	0
-machen	316	168329	35448	19720567	0.06318885316372212	0
-entsprechend	89	168329	8062	19720567	0.37473267060418675	0
-umfassend	35	168329	2394	19720567	0.7852295071090091	0
-gemeinsam	135	168329	13514	19720567	0.22903912369650994	0
-danken	41	168329	2999	19720567	0.687051860922521	0
-zeitnah	11	168329	419	19720567	1.6469124700693067	0
-Hüppe	7	168329	190	19720567	2.1515612771770662	0
-Vorstoß	6	168329	142	19720567	2.357405852874322	0
-Blockadehaltung	5	168329	99	19720567	2.6272454366132303	0
-selbstverständlich	41	168329	3036	19720567	0.6691179103454407	0
-sowohl	40	168329	2950	19720567	0.675030850495221	0
-versuchen	50	168329	3981	19720567	0.5630817347541358	0
-reagieren	24	168329	1444	19720567	0.9731934797326169	0
-Äußerung	15	168329	708	19720567	1.3300852468748097	0
-erfolgreich	48	168329	3780	19720567	0.5791354232729025	0
-daran	84	168329	7762	19720567	0.3457087713353157	0
-ausschließen	23	168329	1361	19720567	0.997605748819057	0
-sollen	327	168329	38553	19720567	-0.00921360392576974	0
-betreiben	31	168329	2094	19720567	0.8035743979038956	0
-stellen	171	168329	18349	19720567	0.12785285026435494	0
-Regierungsfraktion	15	168329	714	19720567	1.317648143636587	0
-Spitzenverband	7	168329	194	19720567	2.1203666555734726	0
-Frage	237	168329	26928	19720567	0.0445837045180446	0
-zudem	30	168329	2012	19720567	0.8140555418255355	0
-seinerzeit	11	168329	432	19720567	1.6016613889744062	0
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-stützen	10	168329	370	19720567	1.6899811919611925	0
-in	2939	168329	414567	19720567	-0.2699657587956144	-0.1560017296444609
-Verpflichtung	25	168329	1567	19720567	0.9131753332631956	0
-zurückhaltend	6	168329	147	19720567	2.3053173417258677	0
-wiederholt	12	168329	508	19720567	1.4906723837377862	0
-vergangen	43	168329	3360	19720567	0.5905076513175807	0
-verbal	5	168329	103	19720567	2.567124444175659	0
-abwarten	13	168329	580	19720567	1.413140986602368	0
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-Ratifizierung	10	168329	375	19720567	1.670081634523488	0
-bitten	69	168329	6265	19720567	0.3713092213921057	0
-Hinblick	31	168329	2161	19720567	0.7574647886771797	0
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-umgehend	7	168329	200	19720567	2.074804078193029	0
-selbst	91	168329	8936	19720567	0.25705440602438057	0
-nachgeordnet	5	168329	105	19720567	2.5379780985161426	0
-missachten	6	168329	151	19720567	2.264959604109727	0
-nachkommen	14	168329	669	19720567	1.3119100190362964	0
-Richtung	38	168329	2929	19720567	0.6104808133700411	0
-wollen	399	168329	51100	19720567	-0.1295754523950806	0
-Druck-sache	5	168329	107	19720567	2.509408946319372	0
-lauten	26	168329	1747	19720567	0.8113145295043935	0
-letzt	142	168329	15825	19720567	0.07273937447087707	0
-Einvernehmen	9	168329	327	19720567	1.716948239561462	0
-nichts	118	168329	12699	19720567	0.12359026391577677	0
-zu	1843	168329	271146	19720567	-0.33112422676470127	-0.18675432339014042
-offensichtlich	34	168329	2575	19720567	0.6361883746004898	0
-ihrerseits	6	168329	157	19720567	2.2064639547995823	0
-.	6161	168329	960796	19720567	-0.41573469193461454	-0.3378216952921501
-klar	114	168329	12367	19720567	0.1119488089754765	0
-entscheiden	56	168329	5088	19720567	0.37034490858182006	0
-EU	48	168329	4160	19720567	0.43924414493078295	0
-Entschließungsantrag	27	168329	1887	19720567	0.7537067895715799	0
-darin	39	168329	3167	19720567	0.5342836149584012	0
-zusammen	39	168329	3167	19720567	0.5342836149584012	0
-bestätigen	25	168329	1698	19720567	0.7955406531398771	0
-rechnen	22	168329	1415	19720567	0.8753582694395494	0
-Umgang	22	168329	1416	19720567	0.8743229661723791	0
-Finanzpolitik	10	168329	405	19720567	1.556125445226402	0
-räumen	8	168329	274	19720567	1.8046237579023154	0
-Linie	23	168329	1520	19720567	0.8356096434021014	0
-Bundesaußenminister	9	168329	340	19720567	1.6591437880385997	0
-beantworten	37	168329	2992	19720567	0.5404171439675602	0
-zurückweisen	8	168329	277	19720567	1.7884438308468809	0
-kündigen	9	168329	342	19720567	1.6504528277745552	0
-einsetzen	52	168329	4764	19720567	0.35822208771413633	0
-gemacht	6	168329	163	19720567	2.1502479452330343	0
-Marokko	7	168329	219	19720567	1.9393406608979098	0
-Richtlinie	25	168329	1749	19720567	0.7522183240891317	0
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-über	333	168329	44780	19720567	-0.20051386509971958	0
-unternehmen	96	168329	10483	19720567	0.10237728305559236	0
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-hierauf	5	168329	116	19720567	2.3874184219407613	0
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-mündlich	8	168329	286	19720567	1.7409651206799976	0
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-bekannt	30	168329	2328	19720567	0.6006337063659104	0
-lediglich	20	168329	1293	19720567	0.8678175843895094	0
-Bundesregierung	217	168329	28239	19720567	-0.15281488188670536	0
-bisherig	25	168329	1799	19720567	0.7109720888771658	0
-positionieren	7	168329	226	19720567	1.8924740558599358	0
-Programm	45	168329	4082	19720567	0.3726914182526694	0
-maritim	14	168329	752	19720567	1.1397841094007128	0
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-und	2671	168329	437488	19720567	-0.4869783667805467	-0.36739681660119294
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-nehmen	117	168329	13986	19720567	-0.029305234970188054	0
-groß	186	168329	24249	19720567	-0.15546389350012976	0
-weisen	20	168329	1333	19720567	0.8231830873979805	0
-Abhilfe	5	168329	121	19720567	2.323853293163295	0
-darauf	116	168329	13909	19720567	-0.033761470524779985	0
-Versprechen	26	168329	1962	19720567	0.6414826742700025	0
-vehement	6	168329	174	19720567	2.052551271345901	0
-momentan	12	168329	599	19720567	1.247652001014609	0
-Außenminister	17	168329	1048	19720567	0.937540417285736	0
-gegeben	8	168329	299	19720567	1.6750308504952212	0
-halbherzig	5	168329	122	19720567	2.3114695687074627	0
-UN-Sicherheitsrat	6	168329	175	19720567	2.0439892578424765	0
-Zustimmung	30	168329	2425	19720567	0.540986848388481	0
-Rat	22	168329	1553	19720567	0.7390792445410146	0
-Wirtschaftspolitik	11	168329	523	19720567	1.3193378120408021	0
-…	22	168329	1557	19720567	0.7353148717832604	0
-dabei	102	168329	12063	19720567	-0.013718855343486375	0
-zuversichtlich	8	168329	301	19720567	1.665149338981257	0
-Bekenntnis	10	168329	447	19720567	1.410344818790269	0
-äußern	19	168329	1258	19720567	0.8328732347064889	0
-Rechtsverordnung	6	168329	177	19720567	2.0270161792387635	0
-müde	5	168329	124	19720567	2.2870165249829237	0
-Kampagne	10	168329	450	19720567	1.4004745747662075	0
-Anlass	18	168329	1165	19720567	0.8661815188299923	0
-Bundes-regierung	9	168329	376	19720567	1.5101949420026044	0
-Ebene	38	168329	3430	19720567	0.3799132522838914	0
-arbeiten	60	168329	6286	19720567	0.16270692754284408	0
-Begründung	19	168329	1270	19720567	0.8189676326812708	0
-mitteilen	13	168329	701	19720567	1.134081156842499	0
-konzeptionell	5	168329	125	19720567	2.2749436926823488	0
-genehmigen	9	168329	378	19720567	1.5023541887854213	0
-blockieren	14	168329	794	19720567	1.0599308017114983	0
-gewaltsam	5	168329	127	19720567	2.251096950727981	0
-daraus	27	168329	2178	19720567	0.5440018861439126	0
-erteilen	27	168329	2178	19720567	0.5440018861439126	0
-Bestrebung	5	168329	128	19720567	2.2393197829516276	0
-namentlich	18	168329	1204	19720567	0.8179429002998138	0
-jetzt	219	168329	31170	19720567	-0.2830051489644249	0
-allerdings	54	168329	5670	19720567	0.15946647526241312	0
-„	140	168329	18532	19720567	-0.17760154036970868	0
-beschließen	61	168329	6651	19720567	0.10458078107097739	0
-offenkundig	11	168329	550	19720567	1.2451963492882967	0
-aussenden	5	168329	129	19720567	2.227637977903992	0
-Parlament	56	168329	5976	19720567	0.135879654944797	0
-aufgreifen	18	168329	1226	19720567	0.7914264555207383	0
-Empfehlung	16	168329	1022	19720567	0.88549160359797785	0
-zeigen	84	168329	10137	19720567	-0.04311485574336188	0
-vor	278	168329	41941	19720567	-0.3676318397259646	0
-zentral	37	168329	3526	19720567	0.30076167683808025	0
-trotz	30	168329	2635	19720567	0.41972913184615296	0
-wenn	354	168329	55619	19720567	-0.42656672931870104	-0.09575577913876397
-wofür	9	168329	402	19720567	1.411445692587211	0
-Versuch	15	168329	942	19720567	0.9103712603864929	0
-hingegen	13	168329	749	19720567	1.0367839554875842	0
-müssen	508	168329	84021	19720567	-0.5011222906815493	-0.22514063854310595
-Außenpolitik	15	168329	954	19720567	0.8918154413582491	0
-Staatsminister	11	168329	576	19720567	1.1772307547382523	0
-schlagen	20	168329	1490	19720567	0.6602338485671406	0
-zurzeit	16	168329	1059	19720567	0.8333827508837393	0
-damals	46	168329	4870	19720567	0.14745395756043314	0
-konzentrieren	14	168329	866	19720567	0.9325514952352708	0
-erneut	20	168329	1508	19720567	0.6426754771828358	0
-unzureichend	11	168329	586	19720567	1.1519196662090647	0
-Handlungsfähigkeit	6	168329	198	19720567	1.859906193403505	0
-sämtliche	10	168329	502	19720567	1.2393197829516274	0
-eigen	65	168329	7758	19720567	-0.027056586574875793	0
-versichern	10	168329	503	19720567	1.236390451912956	0
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-gegen	99	168329	13213	19720567	-0.18955736604091303	0
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-zwischen	76	168329	9567	19720567	-0.10451067971205547	0
-interessieren	17	168329	1211	19720567	0.7257819133890394	0
-Gutachter	5	168329	141	19720567	2.094371447040528	0
-voll	23	168329	1914	19720567	0.49853450151075657	0
-Priorität	13	168329	794	19720567	0.9511671734026179	0
-Energiepolitik	12	168329	700	19720567	1.0186039394225632	0
-kommentieren	6	168329	204	19720567	1.8155120740450517	0
-maßgeblich	12	168329	701	19720567	1.0165085214203697	0
-vielfältig	13	168329	804	19720567	0.9328120270718052	0
-Mandat	26	168329	2318	19720567	0.39795458278769225	0
-Vorhaben	18	168329	1352	19720567	0.6482882436612324	0
-zeichnen	10	168329	523	19720567	1.1790192726838133	0
-umfangreich	12	168329	713	19720567	0.9915980601140382	0
-sein	2166	168329	429001	19720567	-0.762595233842554	-0.6296720284440421
-Koalitionsvertrag	31	168329	3036	19720567	0.26095322819183264	0
-viert	10	168329	530	19720567	1.1594664752624129	0
diff --git a/tests/test_measures.py b/tests/test_measures.py
index 5a8b2bb..07417cf 100644
--- a/tests/test_measures.py
+++ b/tests/test_measures.py
@@ -22,7 +22,7 @@ def test_mutual_information_single(fixed_dataframe):
 def test_mutual_information(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['mutual_information'])
+    df_ams = am.score(df, ['mutual_information'])
     assert df_ams['mutual_information'][0] == 1.0
 
 
@@ -32,7 +32,7 @@ def test_mutual_information_invalid(invalid_dataframe):
 
     df = invalid_dataframe
     with pytest.raises(ValueError):
-        am.calculate_measures(df, ['mutual_information'])
+        am.score(df, ['mutual_information'])
 
 
 @pytest.mark.mi
@@ -40,8 +40,8 @@ def test_mutual_information_invalid(invalid_dataframe):
 def test_mutual_information_zero(zero_dataframe):
 
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['mutual_information'])
-    assert df_ams['mutual_information'].iloc[0] == 0.06167489255030763
+    df_ams = am.score(df, ['mutual_information'])
+    assert df_ams['mutual_information'].iloc[0] == 0.061675
 
 
 ############
@@ -60,7 +60,7 @@ def test_local_mi_single(fixed_dataframe):
 def test_local_mi(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['local_mutual_information'])
+    df_ams = am.score(df, ['local_mutual_information'])
     assert df_ams['local_mutual_information'][0] == 10.0
 
 
@@ -70,7 +70,7 @@ def test_local_mi_invalid(invalid_dataframe):
 
     df = invalid_dataframe
     with pytest.raises(ValueError):
-        am.calculate_measures(df, ['local_mutual_information'])
+        am.score(df, ['local_mutual_information'])
 
 
 @pytest.mark.local_mi
@@ -78,8 +78,8 @@ def test_local_mi_invalid(invalid_dataframe):
 def test_local_mi_zero(zero_dataframe):
 
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['local_mutual_information'], freq=True)
-    assert df_ams['local_mutual_information'].iloc[0] == 848.9548959549845
+    df_ams = am.score(df, ['local_mutual_information'], freq=True)
+    assert df_ams['local_mutual_information'].iloc[0] == 848.954896
 
 
 ########
@@ -90,7 +90,7 @@ def test_local_mi_zero(zero_dataframe):
 def test_dice(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['dice'])
+    df_ams = am.score(df, ['dice'])
 
     assert df_ams['dice'][0] == 1.0
 
@@ -101,14 +101,14 @@ def test_dice_invalid(invalid_dataframe):
 
     df = invalid_dataframe
     with pytest.raises(ValueError):
-        am.calculate_measures(df, ['dice'])
+        am.score(df, ['dice'])
 
 
 @pytest.mark.dice
 @pytest.mark.zero
 def test_dice_zero(zero_dataframe):
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['dice'])
+    df_ams = am.score(df, ['dice'])
     df_ams['dice'][0] == 0.16831229174945742
 
 
@@ -128,8 +128,8 @@ def test_t_score_single(fixed_dataframe):
 def test_t_score(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['t_score'])
-    assert df_ams['t_score'][0] == 2.846049894151541
+    df_ams = am.score(df, ['t_score'])
+    assert df_ams['t_score'][0] == 2.84605
 
 
 @pytest.mark.t_score
@@ -137,15 +137,14 @@ def test_t_score(fixed_dataframe):
 def test_t_score_invalid(invalid_dataframe):
     df = invalid_dataframe
     with pytest.raises(ValueError):
-        am.calculate_measures(df, ['t_score'])
+        am.score(df, ['t_score'])
 
 
-@pytest.mark.now
 @pytest.mark.t_score
 @pytest.mark.zero
 def test_t_score_zero(zero_dataframe):
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['t_score'], freq=True, disc=.5)
+    df_ams = am.score(df, ['t_score'], disc=.5)
     df_ams['t_score'][0] == 15.532438056926377
 
 
@@ -157,7 +156,7 @@ def test_t_score_zero(zero_dataframe):
 def test_z_score(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['z_score'])
+    df_ams = am.score(df, ['z_score'])
     assert df_ams['z_score'][0] == 9.0
 
 
@@ -166,14 +165,14 @@ def test_z_score(fixed_dataframe):
 def test_z_score_nan(invalid_dataframe):
     df = invalid_dataframe
     with pytest.raises(ValueError):
-        am.calculate_measures(df, ['z_score'])
+        am.score(df, ['z_score'])
 
 
 @pytest.mark.z_score
 @pytest.mark.zero
 def test_z_score_zero(zero_dataframe):
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['z_score'])
+    df_ams = am.score(df, ['z_score'])
     df_ams['z_score'].iloc[0] == 16.675431342469118
 
 
@@ -185,8 +184,8 @@ def test_z_score_zero(zero_dataframe):
 def test_log_likelihood(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['log_likelihood'])
-    assert df_ams['log_likelihood'][0] == 65.01659467828966
+    df_ams = am.score(df, ['log_likelihood'])
+    assert df_ams['log_likelihood'][0] == 65.016595
 
 
 @pytest.mark.log_likelihood
@@ -194,15 +193,15 @@ def test_log_likelihood(fixed_dataframe):
 def test_log_likelihood_invalid(invalid_dataframe):
     df = invalid_dataframe
     with pytest.raises(ValueError):
-        am.calculate_measures(df, ['log_likelihood'])
+        am.score(df, ['log_likelihood'])
 
 
 @pytest.mark.log_likelihood
 @pytest.mark.zero
 def test_log_likelihood_zero(zero_dataframe):
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['log_likelihood'], freq=True)
-    assert round(df_ams['log_likelihood'].iloc[0], 5) == 4087.27683
+    df_ams = am.score(df, ['log_likelihood'], freq=True)
+    assert df_ams['log_likelihood'].iloc[0] == 4087.276827
 
 
 #############
@@ -213,22 +212,22 @@ def test_log_likelihood_zero(zero_dataframe):
 def test_simple_ll(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['simple_ll'])
-    assert df_ams['simple_ll'][0] == 28.05170185988092
+    df_ams = am.score(df, ['simple_ll'])
+    assert df_ams['simple_ll'][0] == 28.051702
 
 
 @pytest.mark.simple_ll
 @pytest.mark.zero
 def test_simple_ll_zero(zero_dataframe):
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['simple_ll'], freq=True)
-    assert df_ams['simple_ll'].iloc[0] == 264.9157890046413
+    df_ams = am.score(df, ['simple_ll'], freq=True)
+    assert df_ams['simple_ll'].iloc[0] == 264.915789
 
 
 #############################
 # hypergeometric likelihood #
 #############################
-# Not available via calculate_measures due to numerical instability
+# Not available via score due to numerical instability
 
 @pytest.mark.choose
 @pytest.mark.hypergeometric_likelihood
@@ -259,10 +258,10 @@ def test_hypergeometric_likelihood_zero(zero_dataframe):
     assert isnan(ams[0])
 
 
-#############################
+#######################
 # binomial likelihood #
-#############################
-# Not available via calculate_measures due to numerical instability
+#######################
+# Not available via score due to numerical instability
 
 @pytest.mark.choose
 @pytest.mark.binomial_likelihood
@@ -313,8 +312,8 @@ def test_binomial_likelihood_zero(zero_dataframe):
 def test_log_ratio(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['log_ratio'])
-    assert df_ams['log_ratio'][0] == 7.491853096329675
+    df_ams = am.score(df, ['log_ratio'], disc=.5)
+    assert df_ams['log_ratio'][0] == 7.491853
 
 
 @pytest.mark.log_ratio
@@ -323,7 +322,7 @@ def test_log_ratio_invalid(invalid_dataframe):
 
     df = invalid_dataframe
     with pytest.raises(ValueError):
-        am.calculate_measures(df, ['log_ratio'])
+        am.score(df, ['log_ratio'])
 
 
 @pytest.mark.log_ratio
@@ -331,8 +330,8 @@ def test_log_ratio_invalid(invalid_dataframe):
 def test_log_ratio_zero(zero_dataframe):
 
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['log_ratio'])
-    assert df_ams['log_ratio'][0] == 12.036450448790957
+    df_ams = am.score(df, ['log_ratio'], disc=.5)
+    assert df_ams['log_ratio'][0] == 12.03645
 
 
 ##########################
@@ -343,16 +342,24 @@ def test_log_ratio_zero(zero_dataframe):
 def test_conservative_log_ratio(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['log_ratio', 'conservative_log_ratio'])
-    assert((abs(df_ams['log_ratio']) >= abs(df_ams['conservative_log_ratio'])).all())
-    assert(df_ams['conservative_log_ratio'].iloc[0] == 0.7969356993077386)
+    df_ams = am.score(df, ['log_ratio', 'conservative_log_ratio'], disc=.5, alpha=.01)
+    assert (abs(df_ams['log_ratio']) >= abs(df_ams['conservative_log_ratio'])).all()
+    assert df_ams['conservative_log_ratio'].iloc[0] == 0.796936
 
 
 @pytest.mark.conservative_log_ratio
 def test_conservative_log_ratio_zero(zero_dataframe):
 
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['log_ratio', 'conservative_log_ratio'])
+    df_ams = am.score(df, ['log_ratio', 'conservative_log_ratio'])
+    assert((abs(df_ams['log_ratio']) >= abs(df_ams['conservative_log_ratio'])).all())
+
+
+@pytest.mark.conservative_log_ratio
+def test_conservative_log_ratio_zero_poisson(zero_dataframe):
+
+    df = zero_dataframe
+    df_ams = am.score(df, ['log_ratio', 'conservative_log_ratio'], boundary='poisson')
     assert((abs(df_ams['log_ratio']) >= abs(df_ams['conservative_log_ratio'])).all())
 
 
@@ -360,13 +367,24 @@ def test_conservative_log_ratio_zero(zero_dataframe):
 def test_conservative_log_ratio_one_sided(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['conservative_log_ratio'])
+    df_ams = am.score(df, ['conservative_log_ratio'])
     df_am = am.conservative_log_ratio(df, one_sided=True)
     df_am.name = 'clr_one_sided'
     df_ams = df_ams.join(df_am)
     assert((abs(df_ams['conservative_log_ratio']) <= abs(df_ams['clr_one_sided'])).all())
 
 
+@pytest.mark.conservative_log_ratio
+def test_conservative_log_ratio_boundaries(brown_dataframe):
+
+    df = brown_dataframe
+    df_ams = am.score(df, ['conservative_log_ratio'])
+    df_am = am.score(df, ['conservative_log_ratio'], boundary="poisson")['conservative_log_ratio']
+    df_am.name = 'clr_poisson'
+    df_ams = df_ams.join(df_am)
+    assert (df_ams['conservative_log_ratio'] == 0).sum() < (df_ams['clr_poisson'] == 0).sum()
+
+
 ###################
 # MIN_SENSITIVITY #
 ###################
@@ -375,7 +393,7 @@ def test_conservative_log_ratio_one_sided(fixed_dataframe):
 def test_min_sensitivity(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['min_sensitivity'])
+    df_ams = am.score(df, ['min_sensitivity'])
     assert df_ams['min_sensitivity'][0] == 1
 
 
@@ -387,7 +405,7 @@ def test_min_sensitivity(fixed_dataframe):
 def test_liddell(fixed_dataframe):
 
     df = fixed_dataframe
-    df_ams = am.calculate_measures(df, ['liddell'])
+    df_ams = am.score(df, ['liddell'])
     assert df_ams['liddell'][0] == 1
 
 
@@ -395,7 +413,7 @@ def test_liddell(fixed_dataframe):
 def test_liddell_zero(zero_dataframe):
 
     df = zero_dataframe
-    df_ams = am.calculate_measures(df, ['liddell'])
+    df_ams = am.score(df, ['liddell'])
     assert df_ams['liddell'][0] == 1
 
 
@@ -404,10 +422,10 @@ def test_liddell_zero(zero_dataframe):
 ########
 
 @pytest.mark.gold
-def test_measures_ucs(ucs_dataframe):
+def test_measures_ucs_gold(ucs_dataframe):
 
     df = ucs_dataframe
-    df = df.join(am.calculate_measures(df))
+    df = df.join(am.score(df))
 
     for ucs, assoc in [('am.Dice', 'dice'),
                        ('am.MS', 'min_sensitivity'),
@@ -418,19 +436,34 @@ def test_measures_ucs(ucs_dataframe):
                        ('am.local.MI', 'local_mutual_information'),
                        ('am.simple.ll', 'simple_ll')]:
 
-        assert(round(df[ucs], 10).equals(round(df[assoc], 10)))
+        assert round(df[ucs], 6).equals(df[assoc])
 
 
 @pytest.mark.gold
 def test_measures_log_ratio_gold(log_ratio_dataframe):
 
     df = log_ratio_dataframe
-    df = df.join(am.calculate_measures(df, ['log_ratio', 'conservative_log_ratio']))
+    df = df.join(am.score(df, ['log_ratio', 'conservative_log_ratio'], disc=.5, alpha=.01))
 
     for r, assoc in [('lr', 'log_ratio'),
                      ('clr', 'conservative_log_ratio')]:
 
-        assert(round(df[r], 3).equals(round(df[assoc], 3)))
+        assert round(df[r], 6).equals(df[assoc])
+
+
+@pytest.mark.gold
+def test_measures_lrc(log_ratio_dataframe):
+
+    # original implementation with normal approximation
+    df = log_ratio_dataframe
+    df = df.join(am.score(df, ['conservative_log_ratio'], alpha=.05))
+    assert df['conservative_log_ratio'].equals(round(df['lrc.normal'], 6))
+
+    # implementation with poisson approximation
+    df = log_ratio_dataframe
+    df = df.join(am.score(df, ['conservative_log_ratio'],
+                          alpha=.05, boundary='poisson'))
+    assert df['conservative_log_ratio'].equals(round(df['lrc'], 6))
 
 
 #################
@@ -445,7 +478,7 @@ def test_score_notation(ucs_dataframe):
     # frequency signature notation with int parameters:
     f1 = int(ucs_dataframe['f1'].iloc[0])
     N = int(ucs_dataframe['N'].iloc[0])
-    df2 = am.score(ucs_dataframe[['f', 'f2']], f1, N)
+    df2 = am.score(ucs_dataframe[['f', 'f2']], f1=f1, N=N)
 
     # corpus frequency notation in dataframe:
     tmp = ucs_dataframe[['f', 'f1']].rename({'f': 'f1', 'f1': 'N1'}, axis=1)
diff --git a/tests/test_readme.py b/tests/test_readme.py
index 4a25d0a..f188084 100644
--- a/tests/test_readme.py
+++ b/tests/test_readme.py
@@ -1,13 +1,11 @@
 import association_measures.frequencies as fq
 import association_measures.measures as am
-from pandas import read_csv
 
 
-def test_input():
+def test_input(ucs_dataframe):
 
     # frequency signature notation
-    df = read_csv("tests/ucs-gold-100.ds", comment='#', index_col=0,
-                  sep="\t", quoting=3, keep_default_na=False)
+    df = ucs_dataframe
     df.rename({'l2': 'item'}, axis=1, inplace=True)
     df = df[['item', 'f', 'f1', 'f2', 'N']]
     df.index.name = 'id'
@@ -37,10 +35,9 @@ def test_input():
     print(obs[['O11', 'O12', 'O21', 'O22']].head())
 
 
-def test_ams():
+def test_ams(ucs_dataframe):
 
-    df = read_csv("tests/ucs-gold-100.ds", comment='#', index_col=0,
-                  sep="\t", quoting=3, keep_default_na=False)
+    df = ucs_dataframe
     df.rename({'l2': 'item'}, axis=1, inplace=True)
 
     df = df[['item', 'f', 'f1', 'f2', 'N']]
@@ -57,10 +54,9 @@ def test_ams():
     print(df_ams.head())
 
 
-def test_score():
+def test_score(ucs_dataframe):
 
-    df = read_csv("tests/ucs-gold-100.ds", comment='#', index_col=0,
-                  sep="\t", quoting=3, keep_default_na=False)
+    df = ucs_dataframe
     df.rename({'l2': 'item'}, axis=1, inplace=True)
 
     ucs_dataframe = df[['item', 'f', 'f1', 'f2', 'N']].set_index('item')
@@ -69,7 +65,7 @@ def test_score():
     f1 = int(ucs_dataframe['f1'].iloc[0])
     N = int(ucs_dataframe['N'].iloc[0])
     print(ucs_dataframe[['f', 'f2']].head())
-    df_sig = am.score(ucs_dataframe[['f', 'f2']], f1, N, measures=['log_likelihood'])
+    df_sig = am.score(ucs_dataframe[['f', 'f2']], f1=f1, N=N, measures=['log_likelihood'])
     print("f1: ", f1)
     print("N: ", N)
     print(df_sig.head())