Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects R package capybara version 2.1.0 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>. This implementation is described in Vargas Sepulveda (2025) <doi:10.1371/journal.pone.0331178>. Software Depends: R (>= 4.0.0) Imports: Formula, generics, ggplot2, MASS, rlang, stats LinkingTo: armadillo4r, cpp4r Suggests: broom, knitr, rmarkdown, tinytest, units Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com> Comprehensive R Archive Network (CRAN) Mauricio Vargas Sepulveda [aut, cre] (ORCID: <https://orcid.org/0000-0003-1017-7574>), Joao Santos Silva [ths], Julian Costas Fernandez [ctb], Yoto Yotov [ctb] Apache License (>= 2) 2026-06-29 application/tgz https://CRAN.R-project.org/package=capybara doi:10.32614/CRAN.package.capybara