cran. To fix this you can add URL: https://cran.r-universe.dev/capybara to the package DESCRIPTION file. See also theR-universe documentation.Package: capybara 2.0.0
Mauricio Vargas Sepulveda
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>. This implementation is described in Vargas Sepulveda (2025) <doi:10.1371/journal.pone.0331178>.
Authors:
capybara_2.0.0.tar.gz
capybara_2.0.0.tar.gz(r-4.7-arm64)capybara_2.0.0.tar.gz(r-4.7-x86_64)capybara_2.0.0.tar.gz(r-4.6-arm64)capybara_2.0.0.tar.gz(r-4.6-x86_64)
capybara_1.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
capybara/json (API)
NEWS
| # Install 'capybara' in R: |
| install.packages('capybara', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pachadotdev/capybara/issues
- correia2019 - Separation Example Datasets
- ross2004 - Subset of WTO data from Ross
Last updated from:420020fde0. Checks:4 NOTE, 1 OK, 1 FAIL. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 154 | ||
| linux-devel-x86_64 | NOTE | 163 | ||
| source / vignettes | OK | 245 | ||
| linux-release-arm64 | NOTE | 160 | ||
| linux-release-x86_64 | NOTE | 175 | ||
| wasm-release | FAIL | 121 |
Exports:augmentautoplotfe_tablefeglmfelmfenegbinfepoissonfepoisson_asymmetricfit_controlglancesandwich_vcovsummary_tabletidy
Dependencies:armadillo4rclicpp11cpp4rfarverFormulagenericsggplot2gluegtableisobandlabelinglifecycleMASSR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Asymmetric Poisson Pseudo-Maximum Likelihood (APPML)
Rendered fromasymmetric.Rmdusingknitr::rmarkdownon Jun 15 2026.Last update: 2026-06-15
Started: 2026-06-15
Different Variance-Covariance Estimators
Rendered fromvariance-covariance.Rmdusingknitr::rmarkdownon Jun 15 2026.Last update: 2026-06-15
Started: 2026-06-15
Nonexistence of estimates of Poisson models
Rendered fromseparation.Rmdusingknitr::rmarkdownon Jun 15 2026.Last update: 2026-06-15
Started: 2026-06-15
Poisson Pseudo-Maximum Likelihood (PPML) Model with Cluster-Robust Standard Errors
Rendered fromintro.Rmdusingknitr::rmarkdownon Jun 15 2026.Last update: 2026-06-15
Started: 2025-03-24
