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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>.
| Version: |
0.7.2 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
data.table, Formula, Rcpp, stats |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
alpaca, knitr, rmarkdown |
| Published: |
2022-08-11 |
| Author: |
Amrei Stammann [aut, cre],
Daniel Czarnowske 
[aut],
Florian Heiss [aut],
Daniel McFadden [ctb] |
| Maintainer: |
Amrei Stammann <amrei.stammann at rub.de> |
| BugReports: |
https://github.com/amrei-stammann/bife/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/amrei-stammann/bife |
| NeedsCompilation: |
yes |
| Citation: |
bife citation info |
| Materials: |
NEWS |
| In views: |
Econometrics |
| CRAN checks: |
bife results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=bife
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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