Package: stargazer2 0.1.0

Tom Zylkin

stargazer2: Beautiful Regression Tables for Modern Econometrics Packages

Produces publication-quality LaTeX, ASCII, and HTML regression tables. Designed as a drop-in replacement for the 'stargazer' package for 'lm' and 'glm' models, with added native support for 'fixest', 'plm', and 'alpaca' objects including automatic fixed-effect and random-effect indicator rows and SE-type detection. Standard errors can be supplied as variance-covariance matrices, numeric vectors, or auto-extracted from supported model objects. Follows the interface of Hlavac (2022) <https://CRAN.R-project.org/package=stargazer>.

Authors:Tom Zylkin [aut, cre]

stargazer2_0.1.0.tar.gz
stargazer2_0.1.0.tar.gz(r-4.7-any)stargazer2_0.1.0.tar.gz(r-4.6-any)
stargazer2_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
stargazer2/json (API)

# Install 'stargazer2' in R:
install.packages('stargazer2', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.56 score 12 scripts 3 exports 0 dependencies

Last updated from:b1e6577dd7. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK174
linux-release-x86_64OK143
wasm-releaseOK101

Exports:alpaca_vcovCLalpaca_vcovSandwichstargazer

Dependencies:

Getting Started with stargazer2
Dataset | A familiar table | Output formats | LaTeX (default) | HTML | Custom standard errors via vcov | HC1-robust SEs | Industry-clustered SEs | Mixed SE types across columns | Cosmetic options | Table styles | Summary statistics
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-07-17
Started: 2026-07-17

Modern Estimators: fixest and alpaca
Standard error interface | Fixed effects with fixest | Multiple estimators and clustering: the gravity model | Non-linear models with alpaca
Rendered frommodern-estimators.Rmdusingknitr::rmarkdown

Last update: 2026-07-17
Started: 2026-07-17

Panel Data Models with plm
Dataset and models | Default output | Robust standard errors | Driscoll-Kraay standard errors | Adding formatting options
Rendered fromplm-panel-data.Rmdusingknitr::rmarkdown

Last update: 2026-07-17
Started: 2026-07-17