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FEprovideR  

Fixed Effects Logistic Model with High-Dimensional Parameters
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FEprovideR", "1.1")



Attach the package and use:
library("FEprovideR")
Maintained by
Michael Kleinsasser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-18
Latest Update: 2019-07-30
Description:
A structured profile likelihood algorithm for the logistic fixed effects model and an approximate expectation maximization (EM) algorithm for the logistic mixed effects model. Based on He, K., Kalbfleisch, J.D., Li, Y. and Li, Y. (2013) .
How to cite:
Michael Kleinsasser (2019). FEprovideR: Fixed Effects Logistic Model with High-Dimensional Parameters. R package version 1.1, https://cran.r-project.org/web/packages/FEprovideR. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2019-06-18 17:20)
Other packages that cited FEprovideR R package
View FEprovideR citation profile
Other R packages that FEprovideR depends, imports, suggests or enhances
Complete documentation for FEprovideR
Functions, R codes and Examples using the FEprovideR R package
Some associated functions: confint.fe.prov . fe.data.prep . fe.prov . funnel.SRR . hospital . hospital_prepared . test.fe.prov . 
Some associated R codes: confint.fe.prov.R . data.R . fe.data.prep.R . fe.prov.R . funnel.SRR.R . test.fe.prov.R .  Full FEprovideR package functions and examples
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