Prepare for CRAN release

.Rbuildignore

@@ -2,15 +2,15 @@
 ^\.Rproj\.user$
 ^LICENSE\.md$
 ^data-raw$
-^\.travis\.yml$
-^codecov\.yml$
+^\.github$
 ^\.covrignore$
 ^cran-comments\.md$
 ^CRAN-RELEASE$
 ^revdep$
 ^_pkgdown\.yml$
 ^docs$
 ^pkgdown$
-^\.github$
+^index\.md$
 ^vignettes/db\.Rmd$
 ^vignettes/example-bm-seurat\.Rmd$
+^CRAN-SUBMISSION$

DESCRIPTION

@@ -1,12 +1,9 @@
 Type: Package
 Package: clustermole
 Title: Unbiased Single-Cell Transcriptomic Data Cell Type Identification
-Version: 1.1.0.9001
+Version: 1.1.1
 Authors@R: 
-    person(given = "Igor",
-           family = "Dolgalev",
-           role = c("aut", "cre"),
-           email = "igor.dolgalev@nyumc.org")
+    person("Igor", "Dolgalev", , "igor.dolgalev@nyumc.org", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4451-126X"))
 Description: Assignment of cell type labels to single-cell RNA sequencing (scRNA-seq) clusters is often a time-consuming process that involves manual inspection of the cluster marker genes complemented with a detailed literature search. This is especially challenging when unexpected or poorly described populations are present. The clustermole R package provides methods to query thousands of human and mouse cell identity markers sourced from a variety of databases.
 License: MIT + file LICENSE
 URL: https://igordot.github.io/clustermole/
@@ -30,7 +27,8 @@ Suggests:
     rmarkdown,
     roxygen2,
     testthat
+VignetteBuilder: 
+    knitr
 biocViews:
 Encoding: UTF-8
 RoxygenNote: 7.2.3
-VignetteBuilder: knitr

NEWS.md

@@ -1,3 +1,7 @@
+# clustermole 1.1.1
+
+* Updated internal GSVA and tidyselect function calls.
+
 # clustermole 1.1.0
 
 * Added singscore enrichment method.

cran-comments.md

@@ -1,9 +1,10 @@
 ## Test environments
 
-* local OS X install, R 4.0.3
-* travis-ci: R 3.6, R-release, R-devel
-* win-builder: R-devel
+* local macOS install, R 4.3.2
+* ubuntu-latest (on GitHub Actions), R 4.3, R-release, R-devel
+* macOS (on GitHub Actions), R-release
+* win-builder (devel)
 
 ## R CMD check results
 
-There were no ERRORs or WARNINGs. 
+There were no ERRORs or WARNINGs.