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 a bias-correction proposed by Hahn and Newey (2004) .
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0.4 by Amrei Stammann, 2 months ago
Browse source code at https://github.com/cran/bife
Authors: Amrei Stammann [aut, cre], Daniel Czarnowske [aut], Florian Heiss [aut], Daniel McFadden [ctb]
Documentation: PDF Manual
GPL (>= 2) license
Imports Rcpp, Formula, stats
Suggests ggplot2, knitr, rmarkdown, survival
Linking to Rcpp, RcppArmadillo
See at CRAN