Provides a routine to partial out factors with many levels during the optimization of the log-likelihood function of the corresponding generalized linear model (glm). The package is based on the algorithm described in Stammann (2018) <doi:10.48550/arXiv.1707.01815> and is restricted to glm's that are based on maximum likelihood estimation and nonlinear. It also offers an efficient algorithm to recover estimates of the fixed effects in a post-estimation routine and includes robust and multi-way clustered standard errors. Further the package provides analytical bias corrections for binary choice models derived by Fernandez-Val and Weidner (2016) <doi:10.1016/j.jeconom.2015.12.014> and Hinz, Stammann, and Wanner (2020) <doi:10.48550/arXiv.2004.12655>.
| Version: | 0.3.5 | 
| Depends: | R (≥ 3.1.0) | 
| Imports: | data.table, Formula, MASS, Rcpp, stats, utils | 
| LinkingTo: | Rcpp, RcppArmadillo | 
| Suggests: | bife, car, knitr, lfe, rmarkdown | 
| Published: | 2025-10-27 | 
| DOI: | 10.32614/CRAN.package.alpaca | 
| Author: | Amrei Stammann | 
| Maintainer: | Amrei Stammann <amrei.stammann at uni-bayreuth.de> | 
| BugReports: | https://github.com/amrei-stammann/alpaca/issues | 
| License: | GPL-3 | 
| URL: | https://github.com/amrei-stammann/alpaca | 
| NeedsCompilation: | yes | 
| Citation: | alpaca citation info | 
| Materials: | README, NEWS | 
| In views: | CausalInference, Econometrics | 
| CRAN checks: | alpaca results | 
| Reference manual: | alpaca.html , alpaca.pdf | 
| Vignettes: | How to use alpaca (source, R code) Replicating an Empirical Example of International Trade (source, R code) Estimating the intensive and extensive margin of trade (source, R code) | 
| Package source: | alpaca_0.3.5.tar.gz | 
| Windows binaries: | r-devel: alpaca_0.3.5.zip, r-release: alpaca_0.3.5.zip, r-oldrel: alpaca_0.3.4.zip | 
| macOS binaries: | r-release (arm64): alpaca_0.3.5.tgz, r-oldrel (arm64): alpaca_0.3.5.tgz, r-release (x86_64): alpaca_0.3.5.tgz, r-oldrel (x86_64): alpaca_0.3.5.tgz | 
| Old sources: | alpaca archive | 
| Reverse suggests: | bife, lfe | 
| Reverse enhances: | texreg | 
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