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: | 0.2.5 |
| Depends: | R (≥ 3.1.0) |
| Imports: | dplyr, tidyr, broom, assertive, magrittr, stats, utils, lazyeval |
| Suggests: | knitr, geepack, rmarkdown, testthat, MASS |
| Published: | 2016-07-18 |
| 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 Specific flows for each statistical method |
| Package source: | mason_0.2.5.tar.gz |
| Windows binaries: | r-devel: mason_0.2.5.zip, r-release: mason_0.2.5.zip, r-oldrel: mason_0.2.5.zip |
| OS X binaries: | r-release: mason_0.2.5.tgz, r-oldrel: mason_0.2.5.tgz |
| Old sources: | mason archive |
Please use the canonical form https://CRAN.R-project.org/package=mason to link to this page.