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stargazer: Well-Formatted Regression and Summary Statistics Tables

Produces LaTeX code, HTML/CSS code and ASCII text for well-formatted tables that hold regression analysis results from several models side-by-side, as well as summary statistics.

Version: 5.2.3
Imports: stats, utils
Enhances: AER, betareg, brglm, censReg, dynlm, eha, erer, ergm, fGarch, gee, glmx, gmm, lfe, lme4, lmtest, MASS, mclogit, mgcv, mlogit, nlme, nnet, ordinal, plm, pscl, quantreg, rms, relevent, robustbase, sampleSelection, spdep, survey, survival
Published: 2022-03-04
DOI: 10.32614/CRAN.package.stargazer
Author: Marek Hlavac
Maintainer: Marek Hlavac <marek.hlavac at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: stargazer citation info
Materials: ChangeLog
In views: ReproducibleResearch
CRAN checks: stargazer results

Documentation:

Reference manual: stargazer.pdf
Vignettes: stargazer

Downloads:

Package source: stargazer_5.2.3.tar.gz
Windows binaries: r-devel: stargazer_5.2.3.zip, r-release: stargazer_5.2.3.zip, r-oldrel: stargazer_5.2.3.zip
macOS binaries: r-release (arm64): stargazer_5.2.3.tgz, r-oldrel (arm64): stargazer_5.2.3.tgz, r-release (x86_64): stargazer_5.2.3.tgz, r-oldrel (x86_64): stargazer_5.2.3.tgz
Old sources: stargazer archive

Reverse dependencies:

Reverse depends: SetMethods
Reverse imports: DynNom, ExPanDaR, ExpDes, ExpDes.pt, export, getmstatistic, regr.easy, RPregression, SherlockHolmes
Reverse suggests: clusterMI, estimatr, IceSat2R, margins, rfars, sampcompR, sensemakr, SpatialRDD, urbin, wooldridge

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stargazer to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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