Increase package version and resubmit

- Since the package has been approved by CRAN, the CRAN-RELEASE file
  should be removed. A commit should be tagged with the version number,
  0.0.1.
- Update version number in DESCRIPTION file.
- Add change details in user friendly format to NEWS.md.
- Correct spelling errors in README.Rmd.
- Set development mode of package to release in pkgdown config file.
- Test package on different platforms and update cran-comments.md.
- Remove the non-standard characters from the example in data-cleaner.R.
- Rebuild pkgdown website.

CRAN-RELEASE

@@ -1,2 +1,2 @@
-This package was submitted to CRAN on 2021-06-11.
-Once it is accepted, delete this file and tag the release (commit 40778a5).
+This package was submitted to CRAN on 2021-06-18.
+Once it is accepted, delete this file and tag the release (commit 021eb41).

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: wordpredictor
 Title: Develop Text Prediction Models Based on N-Grams
-Version: 0.0.1
+Version: 0.0.2
 URL: https://github.com/pakjiddat/word-predictor, https://pakjiddat.github.io/word-predictor/
 BugReports: https://github.com/pakjiddat/word-predictor/issues
 Authors@R: 

NEWS.md

@@ -1,3 +1,14 @@
+# wordpredictor 0.0.2
+
+## Bug fixes
+
+  * Fixed small bugs that were causing problems with GitHub actions and CRAN checks.
+  * Removed custom `.Rprofile` file as it was causing problems with GitHub actions.
+  * Updated sample code in `features.Rmd` vignette so it does not cause issues with R CMD Check on MacOs.
+  * Removed `inst/extdata folder` from `.gitignore` since it was causing problems with check-standard workflow on GitHub.
+  * Removed non-standard characters from example in data-cleaner.R file as they were causing problems with CRAN check on "Debian Linux, R-devel, clang".
+  * Issues related to the bug fixes: [#318](https://github.com/r-lib/actions/issues/318), [#319](https://github.com/r-lib/actions/issues/319), [#320](https://github.com/r-lib/actions/issues/320)
+
 # wordpredictor 0.0.1
 
-  - Initial Release
+  * Initial Release.

R/data-cleaner.R

@@ -156,13 +156,13 @@ DataCleaner <- R6::R6Class(
         #' ve <- 0
         #' # Test data is read
         #' l <- c(
-        #'     "If you think I’m wrong, send me a link to where it’s happened",
-        #'     "We’re about 90percent done with this room",
-        #'     "“This isn’t how I wanted it between us.”",
-        #'     "Almost any “cute” breed can become ornamental",
-        #'     "Once upon a time there was a kingdom with a castle…",
+        #'     "If you think I'm wrong, send me a link to where it's happened",
+        #'     "We're about 90percent done with this room",
+        #'     "This isn't how I wanted it between us.",
+        #'     "Almost any cute breed can become ornamental",
+        #'     "Once upon a time there was a kingdom with a castle",
         #'     "That's not a thing any of us are granted'",
-        #'     "“Why are you being so difficult?” she asks."
+        #'     "Why are you being so difficult? she asks."
         #' )
         #' # The expected results
         #' res <- c(

README.Rmd

@@ -121,7 +121,7 @@ mg <- ModelGenerator$new(
 # Generates n-gram model. The output is the file def-model.RDS
 mg$generate_model()
 
-# The test envionment is cleaned up
+# The test environment is cleaned up
 clean_up(ve)
 ```
 
@@ -146,7 +146,7 @@ mp <- ModelPredictor$new(mf = mfn)
 # next words are returned along with their respective probabilities.
 res <- mp$predict_word(words = "how are", 3)
 
-# The test envionment is cleaned up
+# The test environment is cleaned up
 clean_up(ve)
 ```
 
@@ -177,7 +177,7 @@ df <- da$plot_n_gram_stats(opts = list(
   "dir" = NULL
 ))
 
-# The test envionment is cleaned up
+# The test environment is cleaned up
 clean_up(ve)
 ```
 
@@ -202,7 +202,7 @@ df <- da$plot_n_gram_stats(opts = list(
   "dir" = NULL
 ))
 
-# The test envionment is cleaned up
+# The test environment is cleaned up
 clean_up(ve)
 ```
 
@@ -226,7 +226,7 @@ df <- df[order(df$freq, decreasing = T),]
 # The frequency of the bi-gram "great_deal"
 f <- as.numeric(df[df$pre == "great_deal", "freq"])
 
-# The test envionment is cleaned up
+# The test environment is cleaned up
 clean_up(ve)
 ```
 
@@ -310,7 +310,7 @@ me <- ModelEvaluator$new(mf = mfn, ve = 2)
 # a data frame and also saved within the model file itself.
 stats <- me$evaluate_performance(lc = 20, fn = vfn)
 
-# The test envionment is cleaned up
+# The test environment is cleaned up
 clean_up(ve)
 ```
 

_pkgdown.yml

@@ -1,4 +1,4 @@
 url: https://pakjiddat.github.io/word-predictor
 title: Word Predictor
 development:
-  mode: unreleased
+  mode: release

cran-comments.md

@@ -2,10 +2,13 @@
 
   - local, ubuntu 20.04.2, R 3.6.3
   - github actions, macos-latest, R release
-  - rhub, solaris x86, R patched-ods
-  - rhub, windows-x86_64, R release
-  - rhub, ubuntu-gcc, R release
-  - rhub, fedora-clang, R devel
+  - github actions, windows-latest, R release
+  - github actions, ubuntu 20.04, R devel
+  - github actions, ubuntu 20.04, R release  
+  - rhub, debian-clang-devel, R devel
+  - rhub, fedora-clang-devel, R devel
+  - rhub, solaris-x86-patched, R release
+  - rhub, macos-highsierra-release, R release
   - winbuilder, windows, R devel
 
 ## R CMD check results