Create Publication-Ready Regression Tables with Panels R package panelsummary version 0.1.3 Create an automated regression table that is well-suited for models that are estimated with multiple dependent variables. 'panelsummary' extends 'modelsummary' (Arel-Bundock, V. (2022) <doi:10.18637/jss.v103.i01>) by allowing regression tables to be split into multiple sections with a simple function call. Utilize familiar arguments such as fmt, estimate, statistic, vcov, conf_level, stars, coef_map, coef_omit, coef_rename, gof_map, and gof_omit from 'modelsummary' to clean the table, and additionally, add a row for the mean of the dependent variable without external manipulation. Software Depends: R (>= 4.1.0) Imports: dplyr (>= 1.0.9), fixest (>= 0.10.4), kableExtra (>= 1.3.4), methods (>= 4.1.3), modelsummary (>= 1.3.0), rlang (>= 1.0.6), stringr (>= 1.4.1), tidyselect (>= 1.2.0) Suggests: covr, gt, knitr, parameters, performance, rmarkdown, testthat (>= 3.0.0), tibble (>= 3.1.8), utils (>= 4.1.3) Michael Topper <miketopper123@gmail.com> Comprehensive R Archive Network (CRAN) Michael Topper [aut, cre], Vincent Arel-Bundock [cph] (Some documentation is inherited from 'modelsummary') GPL (>= 3) 2026-03-20 application/tgz https://CRAN.R-project.org/package=panelsummary doi:10.32614/CRAN.package.panelsummary