repo -> repository

DESCRIPTION

@@ -7,7 +7,7 @@ Description: Complex machine learning models are often hard to interpret. Howeve
   with a solid theoretical foundation. Previously known methods for estimating the Shapley 
   values do, however, assume feature independence. This package implements methods which accounts for any feature 
   dependence, and thereby produces more accurate estimates of the true Shapley values.
-  An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repo.
+  An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.
 Authors@R: c(
     person("Martin", "Jullum", email = "[email protected]", role = c("cre", "aut"), comment = c(ORCID = "0000-0003-3908-5155")),
     person("Lars Henry Berge", "Olsen", email = "[email protected]", role = "aut", comment = c(ORCID = "0009-0006-9360-6993")),

cran-comments.md

@@ -1,5 +1,9 @@
 # shapr 1.0.1 (Major release)
 
+* **By CRAN request** after initial submission: 
+  * Fixed spelling in DESCRIPTION
+  * Reduced tarball size mainly by (temporary) removing snapshot files from the build as they are not run on CRAN.
+
 * Complete rewrite of the package compared to the previous CRAN release. We moved from two main user functions 
 `shapr()` and `explain()` to a single function `explain()` that includes both.
 Thus, this change breaks essentially all existing code that uses the previous version of the package.
@@ -23,24 +27,16 @@ The win-builder and R-hub tests are run without snapshots tests (to replicate CR
 
 ## R CMD check results
 
-There were no ERRORs or WARNINGs
-
-There were 2 NOTES
-
-### NOTE 1 (on win-builder (oldrelease)):
-
-Possibly misspelled words in DESCRIPTION:
-  shaprpy (10:35)
-
-> This refers to the Python wrapper of the package and is not misspelled.
+There were no ERRORs, WARNINGs
 
+There were 1 NOTE
 
-### NOTE 2 (multiple platforms):
+### NOTE (multiple platforms):
 
 * checking installed package size ... NOTE
-  installed size is  8.0Mb
+  installed size is  7.1Mb
   sub-directories of 1Mb or more:
-    doc    4.4Mb
+    doc    4.2Mb
     libs   1.3Mb
 
 > The package is growing in size, uses more complied code, and the documentation is comprehensive.