texreg

Conversion of R Regression Output to LaTeX or HTML Tables.

Converts coefficients, standard errors, significance stars, and goodness-of-fit statistics of statistical models into LaTeX tables or HTML tables/MS Word documents or to nicely formatted screen output for the R console for easy model comparison. A list of several models can be combined in a single table. The output is highly customizable. New model types can be easily implemented.

Documentation

Details on texreg can be found in the following article:

Leifeld, Philip (2013): texreg: Conversion of Statistical Model Output in R to LaTeX and HTML Tables. Journal of Statistical Software 55(8): 1-24. doi:10.18637/jss.v055.i08

An updated version of this paper is included as a package vignette. Additional details on how to write custom extensions for texreg and manipulate texreg objects can be found in the following answers on StackOverflow: [1], [2], [3], [4], [5].

Installation

The last stable release can be installed from CRAN:

install.packages("texreg")

To install the latest development version from GitHub, use pak:

# pak::pak("leifeld-lab/texreg")
install.packages("texreg", repos = c('https://leifeld-lab.r-universe.dev', 'https://cloud.r-project.org'))

Alternatively, you can use the remotes package:

# remotes::install_github("leifeld-lab/texreg")
install.packages("texreg", repos = c('https://leifeld-lab.r-universe.dev', 'https://cloud.r-project.org'))

Contribute to the project

Please feel free to report bugs or suggested enhancements using the issue tracker and propose solutions for known bugs using a pull request.

Guidelines for pull requests:

Please observe and follow the code formatting in the texreg package.
Add (or update) testthat unit tests to your pull requests if possible.
Add (or update) roxygen2 documentation if necessary (including @author fields if you make significant changes to a function).
Do not add unnecessary dependencies. Where possible, use base R.
Align argument names in extract method headers with those in other extract methods where possible, to ensure different models can be combined seamlessly in a single table.