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>, Gaure (2013)
<doi:10.1016/j.csda.2013.03.024>, Berge (2018)
<https://ideas.repec.org/p/luc/wpaper/18-13.html>, and Correia et al. (2020)
<doi:10.1177/1536867X20909691>.
| Version: |
1.8.0 |
| 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: |
2025-08-27 |
| Author: |
Mauricio Vargas Sepulveda
 [aut, cre],
Yoto Yotov [ctb] |
| Maintainer: |
Mauricio Vargas Sepulveda <m.vargas.sepulveda at gmail.com> |
| 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:
Downloads:
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