Package index • modelsummary

All functions

coef_rename(): Rename model terms
config_modelsummary(): Persistent user settings for the modelsummary package
datasummary(): Summary tables using 2-sided formulae: crosstabs, frequencies, table 1s and more.
datasummary_balance(): Balance table: Summary statistics for different subsets of the data (e.g., control and treatment groups)
datasummary_correlation(): Generate a correlation table for all numeric variables in your dataset.
datasummary_correlation_format(): Format the content of a correlation table
datasummary_crosstab(): Cross tabulations for categorical variables
datasummary_df(): Draw a table from a data.frame
datasummary_skim(): Quick overview of numeric or categorical variables
dvnames(): Title models with their dependent variables
fmt_decimal(): Rounding with decimal digits in the fmt argument
fmt_equivalence(): Rounding with number of digits determined by an equivalence test
fmt_sci(): Rounding using scientific notation
fmt_significant(): Rounding with significant digits in the fmt argument
fmt_sprintf(): Rounding with the sprintf() function in the fmt argument.
fmt_statistic(): Rounding with decimal digits on a per-statistic basis in the fmt argument for modelsummary()
fmt_term(): Rounding with decimal digits on a per-term basis in the fmt argument for modelsummary()
get_estimates(): Extract model estimates in a tidy format.
get_gof(): Extract goodness-of-fit statistics a tidy format.
gof_map: Data.frame used to clean up and format goodness-of-fit statistics
modelplot(): Model Summary Plots with Estimates and Confidence Intervals
modelsummary(): Model Summary Tables
update_modelsummary(): Update modelsummary and its dependencies