capybara: Fast and Memory Efficient Fitting of Linear Models withHigh-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 |
| DOI: | 10.32614/CRAN.package.capybara |
| 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 |
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