capybara: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects

Fast and user-friendly estimation of generalized linear models with multiple fixed effects and cluster the standard errors. The method to obtain the estimated fixed-effects coefficients is based on Stammann (2018) <doi:10.48550/arXiv.1707.01815> and Gaure (2013) <doi:10.1016/j.csda.2013.03.024>.

Version:	0.9.1
Depends:	R (≥ 3.5.0)
Imports:	data.table, Formula, generics, ggplot2, kendallknight, MASS, stats
LinkingTo:	cpp11, cpp11armadillo
Suggests:	broom, knitr, rmarkdown, testthat (≥ 3.0.0), units
Published:	2025-03-26
DOI:	10.32614/CRAN.package.capybara
Author:	Mauricio Vargas Sepulveda [aut, cre]
Maintainer:	Mauricio Vargas Sepulveda <m.sepulveda at mail.utoronto.ca>
BugReports:	https://github.com/pachadotdev/capybara/issues
License:	Apache License (≥ 2)
URL:	https://pacha.dev/capybara/, https://github.com/pachadotdev/capybara
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	capybara results

Documentation:

Reference manual:	capybara.pdf
Vignettes:	Poisson Pseudo-Maximum Likelihood (PPML) Model with Cluster-Robust Standard Errors (source, R code)

Downloads:

Package source:	capybara_0.9.1.tar.gz
Windows binaries:	r-devel: capybara_0.9.1.zip, r-release: capybara_0.9.1.zip, r-oldrel: capybara_0.9.1.zip
macOS binaries:	r-devel (arm64): capybara_0.9.1.tgz, r-release (arm64): capybara_0.9.1.tgz, r-oldrel (arm64): capybara_0.9.1.tgz, r-devel (x86_64): capybara_0.9.1.tgz, r-release (x86_64): capybara_0.9.1.tgz, r-oldrel (x86_64): capybara_0.9.1.tgz
Old sources:	capybara archive

Linking:

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