bife: Binary Choice Models with Fixed Effects

Estimates fixed effects binary choice models (logit and probit) with potentially many individual fixed effects and computes average partial effects. Incidental parameter bias can be reduced with an asymptotic bias correction proposed by Fernandez-Val (2009) <doi:10.1016/j.jeconom.2009.02.007>.

Version: 0.7.3
Depends: R (≥ 3.1.0)
Imports: data.table, Formula, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: alpaca, knitr, rmarkdown
Published: 2025-10-27
DOI: 10.32614/CRAN.package.bife
Author: Amrei Stammann ORCID iD [aut, cre], Daniel Czarnowske ORCID iD [aut], Florian Heiss [aut], Daniel McFadden [ctb]
Maintainer: Amrei Stammann <amrei.stammann at uni-bayreuth.de>
BugReports: https://github.com/amrei-stammann/bife/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/amrei-stammann/bife
NeedsCompilation: yes
Citation: bife citation info
Materials: README, NEWS
In views: Econometrics
CRAN checks: bife results

Documentation:

Reference manual: bife.html , bife.pdf
Vignettes: How to use bife (source, R code)

Downloads:

Package source: bife_0.7.3.tar.gz
Windows binaries: r-devel: bife_0.7.3.zip, r-release: bife_0.7.3.zip, r-oldrel: bife_0.7.2.zip
macOS binaries: r-release (arm64): bife_0.7.3.tgz, r-oldrel (arm64): bife_0.7.3.tgz, r-release (x86_64): bife_0.7.3.tgz, r-oldrel (x86_64): bife_0.7.3.tgz
Old sources: bife archive

Reverse dependencies:

Reverse suggests: alpaca, insight, marginaleffects
Reverse enhances: texreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bife to link to this page.