betareg, bookdown, broom.mixed, covr, digest, DT, estimatr,
fixest, flextable, gamlss, ggplot2, gt (>= 0.3.0), huxtable,
IRdisplay, knitr, lfe, lme4, lmtest, magick, officer,
rmarkdown, sandwich, spelling, testthat, MASS, mice, nnet,
pscl, vdiffr
'coef_rename.R' 'convenience.R' 'datasummary.R'
'datasummary_balance.R' 'datasummary_correlation.R'
'datasummary_crosstab.R' 'datasummary_df.R'
'datasummary_extract.R' 'datasummary_functions.R'
'datasummary_skim.R' 'dvnames.R' 'escape.R' 'factory.R'
'factory_dataframe.R' 'factory_flextable.R' 'factory_gt.R'
'factory_huxtable.R' 'factory_kableExtra.R'
'format_estimates.R' 'format_gof.R' 'get_estimates.R'
'get_gof.R' 'get_vcov.R' 'glance_custom.R' 'gof_map.R'
'methods_did.R' 'methods_estimatr.R' 'methods_fixest.R'
'methods_lfe.R' 'methods_stats.R' 'modelplot.R'
'modelsummary.R' 'modelsummary_list.R' 'modelsummary_wide.R'
'poorman.R' 'reexport.R' 'sanitize_gof_map.R'
'sanitize_group.R' 'sanitize_models.R' 'sanitize_output.R'
'sanitize_vcov.R' 'sanity_checks.R' 'settings.R' 'stars.R'
'supported_models.R' 'themes.R' 'tidy_custom.R' 'utils_pad.R'
'utils_print.R' 'utils_replace.R' 'utils_rounding.R'
'utils_stats.R'

betareg, bookdown, broom.mixed, covr, digest, DT, estimatr,
fixest, flextable, gamlss, ggplot2, gt (>= 0.3.0), huxtable,
IRdisplay, knitr, lfe, lme4, lmtest, magick, officer,
rmarkdown, sandwich, spelling, testthat, tibble, MASS, mice,
nnet, pscl, vdiffr

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>.
broom, checkmate, data.table, generics, glue, insight (>=
0.16.1), kableExtra (>= 1.2.1), parameters (>= 0.17.0),
performance (>= 0.9.1), tables
'bind_est_gof.R' 'coef_rename.R' 'convenience.R'
'datasummary.R' 'datasummary_balance.R'
'datasummary_correlation.R' 'datasummary_crosstab.R'
'datasummary_df.R' 'datasummary_extract.R'
'datasummary_functions.R' 'datasummary_skim.R' 'dvnames.R'
'escape.R' 'factory.R' 'factory_dataframe.R'
'factory_flextable.R' 'factory_gt.R' 'factory_huxtable.R'
'factory_kableExtra.R' 'format_estimates.R' 'format_gof.R'
'format_msg.R' 'get_estimates.R' 'get_gof.R' 'get_vcov.R'
'glance_custom.R' 'gof_map.R' 'map_estimates.R' 'map_gof.R'
'methods_did.R' 'methods_estimatr.R' 'methods_fixest.R'
'methods_lfe.R' 'methods_stats.R' 'modelplot.R'
'modelsummary.R' 'modelsummary_list.R' 'modelsummary_wide.R'
'poorman.R' 'reexport.R' 'rename_statistics.R' 'sanitize_fmt.R'
'sanitize_gof_map.R' 'sanitize_models.R' 'sanitize_output.R'
'sanitize_shape.R' 'sanitize_vcov.R' 'sanity_checks.R'
'settings.R' 'shape_estimates.R' 'span.R' 'stars.R'
'supported_models.R' 'themes.R' 'tidy_custom.R' 'utils_pad.R'
'utils_print.R' 'utils_replace.R' 'utils_rounding.R'
'utils_stats.R' 'utils_warn.R'