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 |
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