Package: gemR 1.2.2
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>.
Authors:
gemR_1.2.2.tar.gz
gemR_1.2.2.zip(r-4.7)gemR_1.2.2.zip(r-4.6)gemR_1.2.2.zip(r-4.5)
gemR_1.2.2.tgz(r-4.6-any)gemR_1.2.2.tgz(r-4.5-any)
gemR_1.2.2.tar.gz(r-4.7-any)gemR_1.2.2.tar.gz(r-4.6-any)
gemR_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gemR/json (API)
NEWS
| # Install 'gemR' in R: |
| install.packages('gemR', repos = c('https://khliland.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/khliland/gemr/issues
- Diabetes - Diabetes data
- Lactobacillus - Lactobacillus data
- MS - Multiple Sclerosis data
Last updated from:e3ba228e5c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 209 | ||
| linux-release-x86_64 | OK | 171 | ||
| macos-release-arm64 | OK | 142 | ||
| macos-oldrel-arm64 | OK | 110 | ||
| windows-devel | OK | 139 | ||
| windows-release | OK | 139 | ||
| windows-oldrel | OK | 135 | ||
| wasm-release | OK | 127 |
Exports:confintscorrplotelasticexplvarGEMgrid.arrangeknock.inknock.outloadingplotloadingsmvrValstatsneuralnetpcapermutationplsR2scascoreplotscorestableGEM
Dependencies:abindbackportsbdsmatrixbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11crayonDerivdoBydplyrfarverforecastFormulafracdiffgenalggenericsggplot2gluegridExtragtableHDANOVAhmsisobandlabelinglatticeleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamixlmmodelrmultcompmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplsplsVarSelpracmapraznikprettyunitsprogresspurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangRSpectraS7sandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Confidence Intervals of Effect Differences | confints confints.default confints.GEM plot.confints |
| Diabetes data | Diabetes |
| Elastic-net modeling of GEM objects. | coef.GEMglmnet elastic elastic.GEM |
| General Effect Modelling | GEM gemR plot.GEM print.GEM print.summary.GEM summary.GEM tableGEM |
| Knock-in and knock-out of effect(s) | knock.in knock.out |
| Lactobacillus data | Lactobacillus |
| Multiple Sclerosis data | MS |
| Neural Network by Multilayer Perceptron | neuralnet |
| Principal Component Analysis | pca |
| Plot function and extraction method for GEM-based PLS | corrplot explvar explvar.GEMpls loadingplot loadings mvrValstats plot.GEM.pls plot.GEMpls print.GEMpls R2 scoreplot scores summary.GEMpls |
| Partial Least Squares modelling of GEM objects. | pls.GEM |
| Simultaneous Component Analysis | sca |
