logistf (1.23)

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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.

Maintainer: Georg Heinze
Author(s): Georg Heinze [aut, cre], Meinhard Ploner [aut], Daniela Dunkler [ctb], Harry Southworth [ctb]

License: GPL

Uses: mgcv, mice
Reverse depends: mbmdr, mDAG
Reverse suggests: ggeffects, insight, metamisc, phyr
Reverse enhances: MuMIn

Released almost 2 years ago.

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