Provides graphics and other functions that evaluate and display models across many different kinds of model architecture. For instance, you can evaluate the effect size of a model input in the same way, regardless of architecture, interaction terms, etc.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.1), ggplot2 |
| Imports: | lazyeval, rpart, mosaic, magrittr |
| Suggests: | dplyr, testthat, mosaicData, knitr, rmarkdown |
| Published: | 2016-11-12 |
| Author: | Daniel Kaplan |
| Maintainer: | Daniel Kaplan <kaplan at macalester.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | statisticalModeling results |
| Reference manual: | statisticalModeling.pdf |
| Vignettes: |
Functions for Statistical Modeling |
| Package source: | statisticalModeling_0.3.0.tar.gz |
| Windows binaries: | r-devel: statisticalModeling_0.3.0.zip, r-release: statisticalModeling_0.3.0.zip, r-oldrel: statisticalModeling_0.3.0.zip |
| OS X El Capitan binaries: | r-release: statisticalModeling_0.3.0.tgz |
| OS X Mavericks binaries: | r-oldrel: statisticalModeling_0.3.0.tgz |
| Reverse suggests: | ggformula |
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