The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| Reference manual: | gemR.pdf |
| Package source: | gemR_1.2.1.tar.gz |
| Windows binaries: | r-devel: gemR_1.2.1.zip, r-release: gemR_1.2.1.zip, r-oldrel: gemR_1.2.1.zip |
| macOS binaries: | r-release (arm64): gemR_1.2.1.tgz, r-oldrel (arm64): gemR_1.2.1.tgz, r-release (x86_64): gemR_1.2.1.tgz, r-oldrel (x86_64): gemR_1.2.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=gemR to link to this page.
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.