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bife  

Binary Choice Models with Fixed Effects
View on CRAN: Click here


Download and install bife package within the R console
Install from CRAN:
install.packages("bife")

Install from Github:
library("remotes")
install_github("cran/bife")

Install by package version:
library("remotes")
install_version("bife", "0.7.2")



Attach the package and use:
library("bife")
Maintained by
Amrei Stammann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-29
Latest Update: 2022-08-11
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) .
How to cite:
Amrei Stammann (2016). bife: Binary Choice Models with Fixed Effects. R package version 0.7.2, https://cran.r-project.org/web/packages/bife. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1 (2016-07-29 13:36), 0.2 (2017-03-02 18:24), 0.3 (2017-05-04 11:42), 0.4 (2017-05-07 07:17), 0.5 (2018-03-07 11:20), 0.6 (2019-05-25 01:51), 0.7.1 (2020-10-30 10:40), 0.7 (2020-01-12 14:40)
Other packages that cited bife R package
View bife citation profile
Other R packages that bife depends, imports, suggests or enhances
Complete documentation for bife
Functions, R codes and Examples using the bife R package
Some associated functions: bias_corr . bife . bife_control . coef.bife . coef.bifeAPEs . fitted.bife . get_APEs . logLik.bife . predict.bife . print.bife . print.bifeAPEs . print.summary.bife . print.summary.bifeAPEs . psid . summary.bife . summary.bifeAPEs . vcov.bife . vcov.bifeAPEs . 
Some associated R codes: RcppExports.R . bias_corr.R . bife.R . generics.R . get_APEs.R . helpers.R . psid.R .  Full bife package functions and examples
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