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randomGLM: Random General Linear Model Prediction

A bagging predictor based on generalized linear models (GLMs) is implemented. The method is published in Song, Langfelder and Horvath (2013) <doi:10.1186/1471-2105-14-5>.

Version: 1.10-1
Depends: R (≥ 4.0.0), MASS, foreach, doParallel
Imports: Hmisc, geometry, survival, matrixStats, parallel
Published: 2022-04-10
Author: Lin Song, Peter Langfelder
Maintainer: Peter Langfelder <peter.langfelder at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://horvath.genetics.ucla.edu/rglm/
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: randomGLM results

Documentation:

Reference manual: randomGLM.pdf

Downloads:

Package source: randomGLM_1.10-1.tar.gz
Windows binaries: r-devel: randomGLM_1.10-1.zip, r-release: randomGLM_1.10-1.zip, r-oldrel: randomGLM_1.10-1.zip
macOS binaries: r-release (arm64): randomGLM_1.10-1.tgz, r-oldrel (arm64): randomGLM_1.10-1.tgz, r-release (x86_64): randomGLM_1.10-1.tgz, r-oldrel (x86_64): randomGLM_1.10-1.tgz
Old sources: randomGLM archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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