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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:

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