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
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

Documentation:

Reference manual:

LogicReg.pdf

Downloads:

Package source:	LogicReg_1.6.6.tar.gz
Windows binaries:	r-prerel: LogicReg_1.6.6.zip, r-release: LogicReg_1.6.6.zip, r-oldrel: LogicReg_1.6.6.zip
macOS binaries:	r-prerel (arm64): LogicReg_1.6.6.tgz, r-release (arm64): LogicReg_1.6.6.tgz, r-oldrel (arm64): LogicReg_1.6.6.tgz, r-prerel (x86_64): LogicReg_1.6.6.tgz, r-release (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

Linking:

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