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:	cdid, clusterMI, estimatr, IceSat2R, margins, rfars, sampcompR, sensemakr, SpatialRDD, urbin, wooldridge

Linking:

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