<b>modelsummary</b>: Data and Model Summaries in <i>R</i>
Vincent Arel‐Bundock
Abstract
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
Topics & Concepts
Table (database)Computer scienceSuiteR packageStatistical modelData miningCorrelation coefficientProgramming languageMachine learningArchaeologyHistoryData Analysis with R