logistf: Firth's Bias-Reduced Logistic Regression

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.

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AuthorGeorg Heinze [aut, cre], Meinhard Ploner [aut], Daniela Dunkler [ctb], Harry Southworth [ctb]
Date of publication2016-12-19 17:15:26
MaintainerGeorg Heinze <georg.heinze@meduniwien.ac.at>

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add1.logistf Man page
anova.logistf Man page
backward Man page
CLIP.confint Man page
CLIP.profile Man page
drop1.logistf Man page
forward Man page
is.logistf Man page
logistf Man page
logistf.control Man page
logistf-package Man page
logistftest Man page
plot.logistf.profile Man page
plot.profile.logistf Man page
print.logistf Man page
print.logistftest Man page
profile.logistf Man page
PVR.confint Man page
sex2 Man page
sexagg Man page
summary.logistf Man page
vcov.logistf Man page

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