DESCRIPTION

Type: Package
Package: BayesIV
Title: Bayesian Causal Forest with Instrumental Variable
Version: 0.1
Authors@R: c(
    person("Falco Joannes", "Bargagli Stoffi", , "fbargaglistoffi@hsph.harvard.edu", role = "aut",
           comment = c(ORCID = "0000-0002-6131-8165")),
    person("Riccardo", "Cadei", , "rcadei@hsph.harvard.edu", role = "cre",
           comment = c(ORCID = "0000-0003-2416-8943"))
  )
Manteiner: Riccardo Cadei <rcadei@hsph.harvard.edu>
Description: Bayesian machine learning algorithm to draw interpretable inference 
    on heterogeneous causal effects in the presence of imperfect compliance 
    (e.g., instrumental variables, fuzzy regression discontinuity designs). 
    The proposed Bayesian Causal Forest with Instrumental Variable (BCF-IV) 
    controls for the familywise error rate (or - less stringently - for the 
    false discovery rate) at leaves' level.  
License: MIT License
BugReports: https://github.com/fbargaglistoffi/BCF-IV/issues
Depends: 
    R (>= 3.5.0)
Imports:
    bcf,
    rpart,
    lattice,
    rattle,
    AER,
    bartCause,
    MASS
Language: en-US
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3