prettyglm: Pretty Summaries of Generalized Linear Model Coefficients
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 |
Documentation:
Downloads:
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