modelsummary_wide is a specialized function to display groups of parameters from a single model in separate columns. This can be useful, for example, to display the different levels of coefficients in a multinomial regression model (e.g., nnet::multinom). The coef_group argument specifies the name of the group identifier.

modelsummary_wide(
models,
output = "default",
fmt = 3,
estimate = "estimate",
statistic = "std.error",
vcov = NULL,
conf_level = 0.95,
stars = FALSE,
coef_group = NULL,
coef_map = NULL,
coef_omit = NULL,
coef_rename = NULL,
gof_map = NULL,
gof_omit = NULL,
align = NULL,
notes = NULL,
title = NULL,
stacking = "horizontal",
...
)

## Arguments

models a model or (optionally named) list of models filename or object type (character string) Supported filename extensions: .html, .tex, .md, .txt, .png, .jpg. Supported object types: "default", "html", "markdown", "latex", "data.frame", "gt", "kableExtra", "huxtable", "flextable". Warning: the output argument cannot be used when customizing tables with external packages. See the 'Details' section below. determines how to format numeric values integer: the number of digits to keep after the period format(round(x, fmt), nsmall=fmt) character: passed to the sprintf function (e.g., '%.3f' keeps 3 digits with trailing zero). See ?sprintf function: returns a formatted character string. string or glue string of the estimate to display (or a vector with one string per model). Valid entries include any column name of the data.frame produced by get_estimates(model). Examples: "estimate" "{estimate} ({std.error})stars" "{estimate} [{conf.low}, {conf.high}]" vector of strings or glue strings which select uncertainty statistics to report vertically below the estimate. NULL omits all uncertainty statistics. "conf.int", "std.error", "statistic", "p.value", "conf.low", "conf.high", or any column name produced by: get_estimates(model) glue package strings with braces, such as: "{p.value} [{conf.low}, {conf.high}]" "Std.Error: {std.error}" Note: Parentheses are added automatically unless the string includes glue curly braces {}. Note: To report uncertainty statistics next to coefficients, you can supply a glue string to the estimate argument. robust standard errors and other manual statistics. The vcov argument accepts five types of input (see the 'Details' and 'Examples' sections below): string, vector, or list of strings: "robust", "HC", "HC0", "HC1", "HC2", "HC3", "HC4", "HC4m", "HC5", "stata", or "classical" (alias "constant" or "iid"). formula or list of formulas with the cluster variable(s) on the right-hand side (e.g., ~clusterid). function or list of functions which return variance-covariance matrices with row and column names equal to the names of your coefficient estimates (e.g., stats::vcov, sandwich::vcovHC). list of length(models) variance-covariance matrices with row and column names equal to the names of your coefficient estimates. a list of length(models) vectors with names equal to the names of your coefficient estimates. See 'Examples' section below. confidence level to use for confidence intervals to indicate statistical significance FALSE (default): no significance stars. TRUE: *=.1, **=.05, ***=.01 Named numeric vector for custom stars such as c('*' = .1, '+' = .05) the name of the coefficient groups to use as columns (NULL or character). If coef_group is NULL, modelsummary tries to guess the correct coefficient group identifier. To be valid, this identifier must be a column in the data.frame produced by tidy(model). Note: you may have to load the broom or broom.mixed package before executing tidy(model). named character vector. Values refer to the variable names that will appear in the table. Names refer to the original term names stored in the model object, e.g. c("hp:mpg"="hp X mpg") for an interaction term. Coefficients that are omitted from this vector will be omitted from the table. The table will be ordered in the same order as this vector. string regular expression. Omits all matching coefficients from the table using grepl(perl=TRUE). named character vector. Values refer to the variable names that will appear in the table. Names refer to the original term names stored in the model object, e.g. c("hp:mpg"="hp X mpg") for an interaction term. NULL (default): the modelsummary::gof_map dictionary is used for formatting, and all unknown statistic are included. data.frame with 3 columns named "raw", "clean", "fmt". Unknown statistics are omitted. See the 'Examples' section below. list of lists, each of which includes 3 elements named "raw", "clean", "fmt". Unknown statistics are omitted. See the 'Examples section below'. string regular expression. Omits all matching gof statistics from the table (using grepl(perl=TRUE)). a data.frame (or tibble) with the same number of columns as your main table. By default, rows are appended to the bottom of the table. You can define a "position" attribute of integers to set the row positions. See Examples section below. A character string of length equal to the number of columns in the table. "lcr" means that the first column will be left-aligned, the 2nd column center-aligned, and the 3rd column right-aligned. list or vector of notes to append to the bottom of the table. string direction in which models are stacked: "horizontal" or "vertical" all other arguments are passed to the tidy and glance methods used to extract estimates from the model. For example, this allows users to set exponentiate=TRUE to exponentiate logistic regression coefficients.

## Value

a regression table in a format determined by the output argument.