LogicReg: Logic Regression

Routines for fitting Logic Regression models. Logic Regression is described in Ruczinski, Kooperberg, and LeBlanc (2003) <doi:10.1198/1061860032238>. Monte Carlo Logic Regression is described in and Kooperberg and Ruczinski (2005) <doi:10.1002/gepi.20042>.

Version: 1.6.6
Depends: R (≥ 2.10), survival
Imports: stats, graphics, utils, grDevices
Published: 2023-08-08
DOI: 10.32614/CRAN.package.LogicReg
Author: Charles Kooperberg and Ingo Ruczinski
Maintainer: Charles Kooperberg <clk at fredhutch.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Survival
CRAN checks: LogicReg results


Reference manual: LogicReg.pdf


Package source: LogicReg_1.6.6.tar.gz
Windows binaries: r-devel: LogicReg_1.6.6.zip, r-release: LogicReg_1.6.6.zip, r-oldrel: LogicReg_1.6.6.zip
macOS binaries: r-release (arm64): LogicReg_1.6.6.tgz, r-oldrel (arm64): LogicReg_1.6.6.tgz, r-release (x86_64): LogicReg_1.6.6.tgz, r-oldrel (x86_64): LogicReg_1.6.6.tgz
Old sources: LogicReg archive

Reverse dependencies:

Reverse depends: logicFS
Reverse imports: LogicForest, trio
Reverse suggests: flowml, fscaret, subsemble, SuperLearner, superMICE


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