modelsummary: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready

Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.

Getting started

Package details

AuthorVincent Arel-Bundock [aut, cre] (<https://orcid.org/0000-0003-2042-7063>), Joachim Gassen [ctb] (<https://orcid.org/0000-0003-4364-2911>), Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] (<https://orcid.org/0000-0002-7352-3991>), Moritz Schwarz [ctb] (<https://orcid.org/0000-0003-0340-3780>), Benjamin Elbers [ctb] (0000-0001-5392-3448), Grant McDermott [ctb] (<https://orcid.org/0000-0001-7883-8573>), Lukas Wallrich [ctb] (<https://orcid.org/0000-0003-2121-5177>)
MaintainerVincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
LicenseGPL-3
Version1.3.0
URL https://vincentarelbundock.github.io/modelsummary/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("modelsummary")

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modelsummary documentation built on Jan. 6, 2023, 1:19 a.m.