bug fix for CRAN submitting process

Author: alsabtay

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: ATAforecasting
 Type: Package
 Title: Automatic Time Series Analysis and Forecasting using the Ata Method
-Version: 0.0.60
-Date: 2023-06-12
+Version: 0.0.61
+Date: 2025-10-29
 Authors@R: c(
   person("Ali Sabri", "Taylan", email="alisabritaylan@gmail.com", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0001-9514-934X")),
   person("Hanife", "Taylan Selamlar", role=c("aut", "cph"), comment = c(ORCID = "0000-0002-4091-884X")),
@@ -15,15 +15,15 @@ Description: The Ata method (Yapar et al. (2019) <doi:10.15672/hujms.461032>), a
 	and seasonal). This methodology performed well on the M3 and M4-competition data. This package was written based on Ali Sabri Taylan’s PhD dissertation.
 Maintainer: Ali Sabri Taylan <alisabritaylan@gmail.com>
 License: GPL (>= 3)
-URL: https://github.com/alsabtay/ATAforecasting, https://atamethod.wordpress.com/
+URL: https://alsabtay.github.io/ATAforecasting, https://github.com/alsabtay/ATAforecasting, https://atamethod.wordpress.com/
 BugReports: https://github.com/alsabtay/ATAforecasting/issues
 Depends: R (>= 4.1)
 Imports: graphics, forecast, Rcpp, Rdpack, seasonal, stats, stlplus,
          stR, timeSeries, TSA, tseries, utils, xts
 LinkingTo: Rcpp, RcppArmadillo
 Encoding: UTF-8
 LazyData: TRUE
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.3
 RdMacros: Rdpack
 NeedsCompilation: yes
 Author: Ali Sabri Taylan [aut, cre, cph]

R/ATA.R

@@ -10,7 +10,8 @@
 #' This methodology performed well on the M3 and M4-competition data.
 #' Returns ATA(p,q,phi) (E,T,S) applied to the data.
 #'
-#' @docType package
+#' @keywords internal
+"_PACKAGE"
 #'
 #' @name ATAforecasting-package
 #'
@@ -284,7 +285,7 @@ ATA <- function(X, Y = NULL,
   if (!is.null(seasonal.period)){
     find.period <- 0
     s.frequency <- seasonal.period
-    X <- forecast::msts(X, seasonal.periods = seasonal.period)
+    X <- forecast::msts(X, start= start(X) , seasonal.periods = seasonal.period)
   }else{
     if (is.null(find.period)){
       find.period <- 0
@@ -295,7 +296,7 @@ ATA <- function(X, Y = NULL,
          if (any(X_msts >= X_len / 2)) {
            warning("Dropping seasonal components with fewer than two full periods.")
            X_msts <- X_msts[X_msts < X_len / 2]
-           X <- forecast::msts(X, seasonal.periods = X_msts)
+           X <- forecast::msts(X, start= start(X) , seasonal.periods = X_msts)
          }
          s.frequency <- seasonal.period <- sort(X_msts, decreasing = FALSE)
     }else if ("ts" %in% class(X)) {

R/ATA_BoxCoxAttributes.r

@@ -12,7 +12,7 @@
 #'
 #' @author Ali Sabri Taylan and Hanife Taylan Selamlar
 #'
-#' @seealso \code{\link{BoxCox}}, \code{\link{InvBoxCox}}, \code{\link{BoxCox.lambda}}
+#' @seealso \code{\link[forecast]{BoxCox}}, \code{\link[forecast]{InvBoxCox}}, \code{\link[forecast]{BoxCox.lambda}}
 #'
 #' @references
 #'

R/ATA_Decomposition.r

@@ -30,7 +30,7 @@
 #'
 #' @author Ali Sabri Taylan and Hanife Taylan Selamlar
 #' @seealso \code{\link[stats]{stl}}, \code{\link[stats]{decompose}}, \code{\link[seasonal]{seas}},
-#' \code{\link[forecast]{tbats}}, \code{\link{stlplus}}, \code{\link[stR]{AutoSTR}}.
+#' \code{\link[forecast]{tbats}}, \code{\link[stlplus]{stlplus}}, \code{\link[stR]{AutoSTR}}.
 #'
 #' @keywords Ata seasonal decomposition forecast accuracy ts msts mstl
 #'

README.md

@@ -1,4 +1,4 @@
-# ATAforecasting <img src="man/figures/logo.png" align="right" />
+# ATAforecasting <img src="man/figures/logo.png" align="right" alt="ATAforecasting logo" />
 
 [![CRAN](https://www.r-pkg.org/badges/version/ATAforecasting)](https://cran.r-project.org/package=ATAforecasting)
 [![Downloads](https://cranlogs.r-pkg.org/badges/ATAforecasting)](https://cran.r-project.org/package=ATAforecasting)

_pkgdown.yml

@@ -1 +1,6 @@
 destination: docs
+template:
+    bootstrap: 5
+
+
+url: https://alsabtay.github.io/ATAforecasting/