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.

Package details

AuthorJared Fowler [cre, aut]
MaintainerJared Fowler <jared.fowler8@gmail.com>
LicenseGPL-3
Version1.0.1
URL https://jared-fowler.github.io/prettyglm/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("prettyglm")

Try the prettyglm package in your browser

Any scripts or data that you put into this service are public.

prettyglm documentation built on Sept. 8, 2023, 5:56 p.m.