Made note to remove 'practical' vignette from package for cran.

DESCRIPTION

@@ -1,8 +1,8 @@
 Encoding: UTF-8
 Type: Package
 Package: fastTopics
-Version: 0.6-189
-Date: 2024-07-07
+Version: 0.6-190
+Date: 2024-07-08
 Title: Fast Algorithms for Fitting Topic Models and Non-Negative
  Matrix Factorizations to Count Data
 Authors@R: c(person("Peter","Carbonetto",role=c("aut","cre"),

R/fit_poisson_nmf.R

@@ -449,7 +449,7 @@ fit_poisson_nmf <- function (X, k, fit0, numiter = 100,
  cat(sprintf("Running at most %d %s updates, %s extrapolation ",
  numiter,method.text,
  ifelse(control$extrapolate,"with","without")))
- cat("(fastTopics 0.6-189).\n")
+ cat("(fastTopics 0.6-190).\n")
  }
 
  # INITIALIZE ESTIMATES

README.md

@@ -81,9 +81,9 @@ See the [package documentation][pkgdown] for more information.
 
 ## Developer notes
 
-To prepare the package for CRAN, remove the "Remotes" field in the
-DESCRIPTION file, and set `on_cran <- TRUE` in `helper_functions.R`,
-then run `R CMD build fastTopics` to build the source package.
+To prepare the package for CRAN, remove the
+"single_cell_rnaseq_practical" vignette, then run `R CMD build
+fastTopics` to build the source package.
 
 This is the command used to check the package before submitting to
 CRAN:

vignettes/single_cell_rnaseq_basic.Rmd

@@ -18,7 +18,10 @@ The aim of this vignette is to introduce the basic concepts behind an
 analysis of single-cell RNA-seq data using a topic model, and to show
 how to use 'fastTopics' to implement this analysis. This first
 vignette explains the analysis steps at only a high level---see
-[Part 2][vignette-part-2] for additional explanations and guidance.
+[Part 2][vignette-part-2] for additional explanations and
+guidance. (Note that Part 2 was not included with the fastTopics
+package on CRAN. It is only included with the fastTopics package on
+GitHub.)
 
 Since a topic model analysis is quite different from most conventional
 analyses of single-cell RNA-seq data, we point out key