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: 0.1
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.12.5), Formula, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, survival, ggplot2
Published: 2016-07-29
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
SystemRequirements: C++11
CRAN checks: bife results


Reference manual: bife.pdf
Vignettes: bife - Introduction
Package source: bife_0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
OS X Mavericks binaries: r-release: bife_0.1.tgz, r-oldrel: bife_0.1.tgz


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