Package: bife 0.7.3

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
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bife_0.7.3.tgz(r-4.6-x86_64)bife_0.7.3.tgz(r-4.6-arm64)bife_0.7.3.tgz(r-4.5-x86_64)bife_0.7.3.tgz(r-4.5-arm64)
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bife_0.7.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bife/json (API)

# Install 'bife' in R:

install.packages('bife', repos = c('https://amrei-stammann.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:

openblas cpp

6.25 score 11 stars 77 scripts 4.2k downloads 1 mentions 5 exports 4 dependencies

Last updated from:3d289a7574. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	151
linux-devel-x86_64	OK	162
source / vignettes	OK	229
linux-release-arm64	OK	162
linux-release-x86_64	OK	196
macos-release-arm64	OK	169
macos-release-x86_64	OK	324
macos-oldrel-arm64	OK	235
macos-oldrel-x86_64	OK	290
windows-devel	OK	127
windows-release	OK	115
windows-oldrel	OK	117
wasm-release	OK	178

Exports:apeff_bife bias_corr bife bife_control get_APEs

Dependencies:data.table Formula Rcpp RcppArmadillo

How to use bife

Binary choice models with individual fixed effects | Estimating a binary-choice model with individual effects | References

Rendered fromhowto.Rmdusingknitr::rmarkdown

Last update: 2022-09-19
Started: 2019-05-24

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Asymptotic bias correction for binary choice Models with fixed effects	bias_corr
Efficiently fit binary choice models with fixed effects	bife
Set 'bife' Control Parameters	bife_control
Extract estimates of structural parameters or fixed effects	coef.bife
Extract estimates of average partial effects	coef.bifeAPEs
Extract 'bife' fitted values	fitted.bife
Compute average partial effects for binary choice models with fixed effects	apeff_bife get_APEs
Extract log-likelihood	logLik.bife
Predict method for 'bife' fits	predict.bife
Print 'bife'	print.bife
Print 'bifeAPEs'	print.bifeAPEs
Print 'summary.bife'	print.summary.bife
Print 'summary.bifeAPEs'	print.summary.bifeAPEs
Female labor force participation	psid
Summarizing models of class 'bife'	summary.bife
Summarizing models of class 'bifeAPEs'	summary.bifeAPEs
Extract estimates of the covariance matrix	vcov.bife
Extract estimates of the covariance matrix	vcov.bifeAPEs