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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>.

copied from cf-staging / r-logistf
Type Size Name Uploaded Downloads Labels
conda 289.5 kB | win-64/r-logistf-1.24.1-r41h6d2157b_1.tar.bz2  2 years and 5 months ago 554 main
conda 305.2 kB | osx-64/r-logistf-1.24.1-r41h815d134_1.tar.bz2  2 years and 5 months ago 73 main
conda 305.5 kB | osx-64/r-logistf-1.24.1-r42h815d134_1.tar.bz2  2 years and 5 months ago 72 main
conda 287.3 kB | linux-64/r-logistf-1.24.1-r42h06615bd_1.tar.bz2  2 years and 5 months ago 1997 main
conda 287.2 kB | linux-64/r-logistf-1.24.1-r41h06615bd_1.tar.bz2  2 years and 5 months ago 1861 main
conda 289.0 kB | win-64/r-logistf-1.24.1-r41h6d2157b_0.tar.bz2  3 years and 2 months ago 733 main
conda 306.6 kB | win-64/r-logistf-1.24.1-r40h6d2157b_0.tar.bz2  3 years and 2 months ago 706 main
conda 298.2 kB | osx-64/r-logistf-1.24.1-r41h28b5c78_0.tar.bz2  3 years and 2 months ago 85 main
conda 297.8 kB | osx-64/r-logistf-1.24.1-r40h28b5c78_0.tar.bz2  3 years and 2 months ago 75 main
conda 286.6 kB | linux-64/r-logistf-1.24.1-r41hcfec24a_0.tar.bz2  3 years and 2 months ago 2377 main
conda 286.1 kB | linux-64/r-logistf-1.24.1-r40hcfec24a_0.tar.bz2  3 years and 2 months ago 2220 main

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