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 a bias-correction proposed by Hahn and Newey (2004) <doi:10.1111/j.1468-0262.2004.00533.x>.

Version: 0.5
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 0.12.14), Formula, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: ggplot2, knitr, rmarkdown, survival
Published: 2018-03-07
Author: Amrei Stammann [aut, cre], Daniel Czarnowske [aut], Florian Heiss [aut], Daniel McFadden [ctb]
Maintainer: Amrei Stammann <amrei.stammann at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: bife citation info
Materials: NEWS
CRAN checks: bife results


Reference manual: bife.pdf
Vignettes: bife - Introduction
Package source: bife_0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: bife_0.5.tgz
OS X Mavericks binaries: r-oldrel: bife_0.4.tgz
Old sources: bife archive


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