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 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=gemR to link to this page.
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