Merge pull request #75 from Vitek-Lab/devel

Devel

DESCRIPTION

@@ -1,35 +1,35 @@
-Package: MSstatsPTM
-Type: Package
-Title: Statistical Characterization of Post-translational Modifications
-Version: 2.5.1
-Date: 2023-11-01
-Description: MSstatsPTM provides general statistical methods for quantitative 
-    characterization of post-translational modifications (PTMs). Supports DDA, 
-    DIA, SRM, and tandem mass tag (TMT) labeling. Typically, the 
-    analysis involves the quantification of PTM sites (i.e., modified residues) 
-    and their corresponding proteins, as well as the integration of the 
-    quantification results. MSstatsPTM provides functions for summarization, 
-    estimation of PTM site abundance, and detection of changes in PTMs across 
-    experimental conditions. 
-Authors@R: c(
-    person("Devon", "Kohler", email = "[email protected]", role = c("aut", "cre")),
-    person("Tsung-Heng", "Tsai", email="[email protected]", role=c("aut")),
-    person("Ting", "Huang", email = "[email protected]", role=c("aut")),
-    person("Mateusz", "Staniak", email = "[email protected]", role = c("aut")),
-  	person("Meena", "Choi", email = "[email protected]", role="aut"),
-  	person("Olga", "Vitek", email = "[email protected]", role = "aut"))
-License: Artistic-2.0
-Depends: R (>= 4.2)
-Imports: dplyr, gridExtra, stringr, stats, ggplot2, stringi,
-            grDevices, MSstatsTMT, MSstatsConvert, MSstats,
-            data.table, Rcpp, Biostrings, checkmate, ggrepel
-Suggests: knitr, rmarkdown, tinytest, covr
-LazyData: true
-LinkingTo: Rcpp
-VignetteBuilder: knitr
-biocViews: ImmunoOncology, MassSpectrometry, Proteomics, Software, DifferentialExpression, 
-           OneChannel, TwoChannel, Normalization, QualityControl
-BugReports: https://github.com/Vitek-Lab/MSstatsPTM/issues
-Encoding: UTF-8
-Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.2.3
+Package: MSstatsPTM
+Type: Package
+Title: Statistical Characterization of Post-translational Modifications
+Version: 2.5.2
+Date: 2023-11-01
+Description: MSstatsPTM provides general statistical methods for quantitative 
+    characterization of post-translational modifications (PTMs). Supports DDA, 
+    DIA, SRM, and tandem mass tag (TMT) labeling. Typically, the 
+    analysis involves the quantification of PTM sites (i.e., modified residues) 
+    and their corresponding proteins, as well as the integration of the 
+    quantification results. MSstatsPTM provides functions for summarization, 
+    estimation of PTM site abundance, and detection of changes in PTMs across 
+    experimental conditions. 
+Authors@R: c(
+    person("Devon", "Kohler", email = "[email protected]", role = c("aut", "cre")),
+    person("Tsung-Heng", "Tsai", email="[email protected]", role=c("aut")),
+    person("Ting", "Huang", email = "[email protected]", role=c("aut")),
+    person("Mateusz", "Staniak", email = "[email protected]", role = c("aut")),
+  	person("Meena", "Choi", email = "[email protected]", role="aut"),
+  	person("Olga", "Vitek", email = "[email protected]", role = "aut"))
+License: Artistic-2.0
+Depends: R (>= 4.2)
+Imports: dplyr, gridExtra, stringr, stats, ggplot2, stringi,
+            grDevices, MSstatsTMT, MSstatsConvert, MSstats,
+            data.table, Rcpp, Biostrings, checkmate, ggrepel
+Suggests: knitr, rmarkdown, tinytest, covr
+LazyData: true
+LinkingTo: Rcpp
+VignetteBuilder: knitr
+biocViews: ImmunoOncology, MassSpectrometry, Proteomics, Software, DifferentialExpression, 
+           OneChannel, TwoChannel, Normalization, QualityControl
+BugReports: https://github.com/Vitek-Lab/MSstatsPTM/issues
+Encoding: UTF-8
+Roxygen: list(markdown = TRUE)
+RoxygenNote: 7.2.3