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
Author: Mauricio Vargas Sepulveda ORCID iD [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 [issues need fixing before 2025-04-08]

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_0.9.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-devel (arm64): capybara_0.9.0.tgz, r-release (arm64): capybara_0.9.0.tgz, r-oldrel (arm64): capybara_0.9.0.tgz, r-devel (x86_64): capybara_0.9.0.tgz, r-release (x86_64): capybara_0.9.0.tgz, r-oldrel (x86_64): capybara_0.9.0.tgz
Old sources: capybara archive

Linking:

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