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: 0.7.1
Depends: R (≥ 3.1.0)
Imports: data.table, Formula, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: alpaca, knitr, rmarkdown
Published: 2020-10-30
Author: Amrei Stammann [aut, cre], Daniel Czarnowske ORCID iD [aut], Florian Heiss [aut], Daniel McFadden [ctb]
Maintainer: Amrei Stammann <amrei.stammann at rub.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: NEWS
In views: Econometrics
CRAN checks: bife results

Documentation:

Reference manual: bife.pdf
Vignettes: How to use bife

Downloads:

Package source: bife_0.7.1.tar.gz
Windows binaries: r-devel: bife_0.7.1.zip, r-devel-UCRT: bife_0.7.1.zip, r-release: bife_0.7.1.zip, r-oldrel: bife_0.7.1.zip
macOS binaries: r-release (arm64): bife_0.7.1.tgz, r-release (x86_64): bife_0.7.1.tgz, r-oldrel: bife_0.7.1.tgz
Old sources: bife archive

Reverse dependencies:

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

Linking:

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