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One of the main advantages of using Generalised Linear Models is their interpretability. The goal of 'prettyglm' is to provide a set of functions which easily create beautiful coefficient summaries which can readily be shared and explained. 'prettyglm' helps users create coefficient summaries which include categorical base levels, variable importance and type III p.values. 'prettyglm' also creates beautiful relativity plots for categorical, continuous and splined coefficients.
| Version: | 1.0.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | broom, car, dplyr, forcats, kableExtra, knitr, methods, plotly, RColorBrewer, stringr, tibble, tidycat, tidyr, tidyselect, vip |
| Suggests: | rmarkdown, testthat |
| Published: | 2023-09-06 |
| DOI: | 10.32614/CRAN.package.prettyglm |
| Author: | Jared Fowler [cre, aut] |
| Maintainer: | Jared Fowler <jared.fowler8 at gmail.com> |
| License: | GPL-3 |
| URL: | https://jared-fowler.github.io/prettyglm/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | prettyglm results |
| Reference manual: | prettyglm.pdf |
| Vignettes: |
prettyglm: Beautiful Visualisations for Generalized Linear Models |
| Package source: | prettyglm_1.0.1.tar.gz |
| Windows binaries: | r-devel: prettyglm_1.0.1.zip, r-release: prettyglm_1.0.1.zip, r-oldrel: prettyglm_1.0.1.zip |
| macOS binaries: | r-release (arm64): prettyglm_1.0.1.tgz, r-oldrel (arm64): prettyglm_1.0.1.tgz, r-release (x86_64): prettyglm_1.0.1.tgz, r-oldrel (x86_64): prettyglm_1.0.1.tgz |
| Old sources: | prettyglm archive |
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