Package: bife 0.7.3

Amrei Stammann

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>.

Authors:Amrei Stammann [aut, cre], Daniel Czarnowske [aut], Florian Heiss [aut], Daniel McFadden [ctb]

bife_0.7.3.tar.gz
bife_0.7.3.tar.gz(r-4.7-arm64)bife_0.7.3.tar.gz(r-4.7-x86_64)bife_0.7.3.tar.gz(r-4.6-arm64)bife_0.7.3.tar.gz(r-4.6-x86_64)
bife_0.7.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
bife/json (API)
NEWS

# Install 'bife' in R:
install.packages('bife', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/amrei-stammann/bife/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • psid - Female labor force participation

On CRAN:

Conda:

openblascpp

4.27 score 1 stars 75 scripts 4.9k downloads 1 mentions 5 exports 4 dependencies

Last updated from:4945f83a07. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK131
source / vignettesOK195
linux-release-arm64OK124
linux-release-x86_64OK127
wasm-releaseOK121

Exports:apeff_bifebias_corrbifebife_controlget_APEs

Dependencies:data.tableFormulaRcppRcppArmadillo

How to use bife

Rendered fromhowto.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2022-08-11
Started: 2019-05-24