Package: bife 0.7.2

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_0.7.2.tar.gz
bife_0.7.2.tar.gz(r-4.5-noble)bife_0.7.2.tar.gz(r-4.4-noble)
bife_0.7.2.tgz(r-4.4-emscripten)bife_0.7.2.tgz(r-4.3-emscripten)
bife.pdf |bife.html
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

2.41 score 1 stars 2.6k downloads 1 mentions 5 exports 4 dependencies

Last updated 3 years agofrom:12daf5a5e4. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 27 2025
R-4.5-linux-x86_64NOTEFeb 27 2025

Exports:apeff_bifebias_corrbifebife_controlget_APEs

Dependencies:data.tableFormulaRcppRcppArmadillo

How to use bife

Rendered fromhowto.Rmdusingknitr::rmarkdownon Feb 27 2025.

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