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Summary of changes since last CRAN version (v0.1.1)

  • Update docs with link to Stat paper doi:10.1002/sta4.454 published on Jan 12, 2022.
  • Allow logistic regression response variable to be a factor, not just 0/1. Add logistic regression example() to function documentation.
  • Add na.rm arguments, passed internally to svymean when calculating average of CV test losses.
  • Make folds.svy() and folds.svydesign() functions directly accessible and documented, so that users can form survey-design-based CV folds and use them with other models besides svyglm.
  • Add examples to README and intro vignette illustrating how to use folds.svy() with design-consistent random forest models from the rpms package.

Test environments

  • local Windows 10 install, R 4.1.3
  • devtools::check_rhub()
  • devtools::check_win_release()
  • devtools::check_win_devel()
  • GitHub Actions for windows-latest (release), macOS-latest (release), ubuntu-latest (oldrel-1), ubuntu-latest (release), ubuntu-latest (devel)

R CMD check results

There were no ERRORs, WARNINGs, or NOTEs.

Downstream dependencies

There are currently no downstream dependencies for this package.