Use a consistent syntax to create data structures of common statistical techniques that can be continued in a pipe chain. Design the analysis, add settings and variables, construct the results, and polish the final structure. Rinse and repeat for any number of statistical techniques.
Version: | 0.3.0 |
Depends: | R (≥ 3.6.0) |
Imports: | broom, dplyr, magrittr, purrr, rlang, stats, tibble, tidyr, tidyselect, utils |
Suggests: | covr, geepack, knitr, MASS, pls, rmarkdown, roxygen2, testthat |
Published: | 2020-06-04 |
Author: | Luke Johnston [aut, cre] |
Maintainer: | Luke Johnston <lwjohnst at gmail.com> |
BugReports: | https://github.com/lwjohnst86/mason/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/lwjohnst86/mason |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | mason results |
Reference manual: | mason.pdf |
Vignettes: |
Introduction to mason |
Package source: | mason_0.3.0.tar.gz |
Windows binaries: | r-devel: mason_0.3.0.zip, r-release: mason_0.3.0.zip, r-oldrel: mason_0.3.0.zip |
macOS binaries: | r-release: mason_0.3.0.tgz, r-oldrel: mason_0.3.0.tgz |
Old sources: | mason archive |
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