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gemR: General Effect Modelling

Two-step modeling with separation of sources of variation through analysis of variance and subsequent multivariate modeling through a range of unsupervised and supervised statistical methods. Separation can focus on removal of interfering effects or isolation of effects of interest. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.

Version: 1.2.1
Depends: R (≥ 3.5.0)
Imports: ggplot2, scales, gridExtra, glmnet, pls, plsVarSel, mixlm, HDANOVA, lme4, pracma, neuralnet
Published: 2025-06-27
Author: Kristian Hovde Liland [aut, cre], Ellen Færgestad Mosleth [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland at nmbu.no>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gemR results

Documentation:

Reference manual: gemR.pdf

Downloads:

Package source: gemR_1.2.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): gemR_1.2.1.tgz, r-oldrel (x86_64): gemR_1.2.1.tgz

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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