logistf: Firth's Bias-Reduced Logistic Regression
Version 1.22

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. If needed, the bias reduction can be turned off such that ordinary maximum likelihood logistic regression is obtained.

Package details

AuthorGeorg Heinze [aut, cre], Meinhard Ploner [aut], Daniela Dunkler [ctb], Harry Southworth [ctb]
Date of publication2016-12-19 17:15:26
MaintainerGeorg Heinze <[email protected]>
URL http://cemsiis.meduniwien.ac.at/en/kb/science-research/software/statistical-software/fllogistf/
Package repositoryView on CRAN
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logistf documentation built on May 30, 2017, 5:25 a.m.