modelsummary: Data and Model Summaries in R
Dublin Core
Title
modelsummary: Data and Model Summaries in R
Subject
: tables, data summary, model summary, crosstab, regression table, coefficient plot,
R
R
Description
modelsummary is a package to summarize data and statistical models in R. It supports
over one hundred types of models out-of-the-box, and allows users to report the results
of those models side-by-side in a table, or in coefficient plots. It makes it easy to execute
common tasks such as computing robust standard errors, adding significance stars, and
manipulating coefficient and model labels. Beyond model summaries, the package also
includes a suite of tools to produce highly flexible data summary tables, such as dataset
overviews, correlation matrices, (multi-level) cross-tabulations, and balance tables (also
known as “Table 1”). The appearance of the tables produced by modelsummary can
be customized using external packages such as kableExtra, gt, flextable, or huxtable;
the plots can be customized using ggplot2. Tables can be exported to many output
formats, including HTML, LATEX, Text/Markdown, Microsoft Word, Powerpoint, Excel,
RTF, PDF, and image files. Tables and plots can be embedded seamlessly in rmarkdown,
knitr, or Sweave dynamic documents. The modelsummary package is designed to be
simple, robust, modular, and extensible.
over one hundred types of models out-of-the-box, and allows users to report the results
of those models side-by-side in a table, or in coefficient plots. It makes it easy to execute
common tasks such as computing robust standard errors, adding significance stars, and
manipulating coefficient and model labels. Beyond model summaries, the package also
includes a suite of tools to produce highly flexible data summary tables, such as dataset
overviews, correlation matrices, (multi-level) cross-tabulations, and balance tables (also
known as “Table 1”). The appearance of the tables produced by modelsummary can
be customized using external packages such as kableExtra, gt, flextable, or huxtable;
the plots can be customized using ggplot2. Tables can be exported to many output
formats, including HTML, LATEX, Text/Markdown, Microsoft Word, Powerpoint, Excel,
RTF, PDF, and image files. Tables and plots can be embedded seamlessly in rmarkdown,
knitr, or Sweave dynamic documents. The modelsummary package is designed to be
simple, robust, modular, and extensible.
Creator
Vincent Arel-Bundock
Source
https://www.jstatsoft.org/article/view/v103i01
Publisher
Université de Montréal
Date
July 2022
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Vincent Arel-Bundock, “modelsummary: Data and Model Summaries in R,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8257.