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) <doi:10.1002/sim.1047>. 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) <doi:10.1002/sim.7273>.
Version: 1.26.1 Depends: R (≥ 3.0.0) Imports: mice, mgcv, formula.tools, Matrix Suggests: emmeans (≥ 1.4), estimability Published: 2025-04-16 DOI: 10.32614/CRAN.package.logistf Author: Georg Heinze [aut, cre], Meinhard Ploner [aut], Daniela Dunkler [ctb], Harry Southworth [ctb], Lena Jiricka [aut], Gregor Steiner [aut] Maintainer: Georg Heinze <georg.heinze at meduniwien.ac.at> BugReports: https://github.com/georgheinze/logistf/issues/ License: GPL-2 | GPL-3 [expanded from: GPL] URL: https://github.com/georgheinze/logistf NeedsCompilation: yes Materials: README, NEWS CRAN checks: logistf results Documentation: Downloads: Reverse dependencies: Reverse depends: mDAG Reverse imports: AUtests, barbieQ, BEAMR, BiVariAn, GWASTools, multisite.accuracy, PhenStat, pogit, rnaEditr, SeqVarTools, Surrogate Reverse suggests: clarify, EHR, ggeffects, insight, jointest, marginaleffects, metamisc, nncc, parameters, phyr, WeightIt Reverse enhances: MuMIn Linking:Please use the canonical form https://CRAN.R-project.org/package=logistf to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4