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:	1.2.2
Depends:	R (≥ 3.5.0)
Imports:	ggplot2, scales, gridExtra, mixlm, pls, plsVarSel, HDANOVA (≥ 0.8.4), lme4, pracma
Suggests:	glmnet, neuralnet
Published:	2025-09-04
DOI:	10.32614/CRAN.package.gemR
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.html , gemR.pdf

Downloads:

Package source:	gemR_1.2.2.tar.gz
Windows binaries:	r-devel: gemR_1.2.2.zip, r-release: gemR_1.2.2.zip, r-oldrel: gemR_1.2.2.zip
macOS binaries:	r-release (arm64): gemR_1.2.2.tgz, r-oldrel (arm64): gemR_1.2.2.tgz, r-release (x86_64): gemR_1.2.2.tgz, r-oldrel (x86_64): gemR_1.2.2.tgz
Old sources:	gemR archive

Reverse dependencies:

Reverse suggests:

wmwAUC

Linking:

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