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bife

Binary Choice Models with Fixed Effects

v0.7.3 · Oct 27, 2025 · GPL (>= 2)
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Description

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>.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (2)

suggests

alpaca marginaleffects

Dependency Network

Dependencies Reverse dependencies data.table Formula Rcpp alpaca marginaleffects bife

Version History

new 0.7.3 Mar 10, 2026
updated 0.7.3 ← 0.7.2 diff Oct 26, 2025
updated 0.7.2 ← 0.7.1 diff Aug 10, 2022
updated 0.7.1 ← 0.7 diff Oct 29, 2020
updated 0.7 ← 0.6 diff Jan 11, 2020
updated 0.6 ← 0.5 diff May 24, 2019
updated 0.5 ← 0.4 diff Mar 6, 2018
updated 0.4 ← 0.3 diff May 6, 2017
updated 0.3 ← 0.2 diff May 3, 2017
updated 0.2 ← 0.1 diff Mar 1, 2017
new 0.1 Jul 28, 2016