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logistf  

Firth's Bias-Reduced Logistic Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("logistf", "1.26.0")



Attach the package and use:
library("logistf")
Maintained by
Georg Heinze
[Scholar Profile | Author Map]
First Published: 2003-10-23
Latest Update: 2023-08-18
Description:
Fit a logistic regression model using Firth's bias reduction method, equivalent to penalization of the log-likelihood by the Jeffreys prior. Confidence intervals for regression coefficients can be computed by penalized profile likelihood. Firth's method was proposed as ideal solution to the problem of separation in logistic regression, see Heinze and Schemper (2002) . If needed, the bias reduction can be turned off such that ordinary maximum likelihood logistic regression is obtained. Two new modifications of Firth's method, FLIC and FLAC, lead to unbiased predictions and are now available in the package as well, see Puhr et al (2017) .
How to cite:
Georg Heinze (2003). logistf: Firth's Bias-Reduced Logistic Regression. R package version 1.26.0, https://cran.r-project.org/web/packages/logistf. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.00 (2003-10-23 09:48), 1.01 (2004-04-22 10:20), 1.03 (2005-04-05 09:38), 1.05 (2005-11-17 11:00), 1.06 (2006-04-20 17:27), 1.10 (2010-04-25 09:26), 1.20 (2013-05-16 10:44), 1.21 (2013-06-26 18:31), 1.22 (2016-12-19 17:15), 1.23.1 (2020-09-04 06:22), 1.23 (2018-07-19 19:40), 1.24.1 (2022-01-18 17:02), 1.24 (2020-09-16 08:40), 1.25.0 (2023-05-03 09:30)
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Complete documentation for logistf
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