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.html , 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 depends: | logicFS |
| Reverse imports: | LogicForest, trio |
| Reverse suggests: | flowml, subsemble, SuperLearner, superMICE |
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