Package: MultiVarSel 1.1.3
MultiVarSel: Variable Selection in a Multivariate Linear Model
It performs variable selection in a multivariate linear model by estimating the covariance matrix of the residuals then use it to remove the dependence that may exist among the responses and eventually performs variable selection by using the Lasso criterion. The method is described in the paper Perrot-Dockès et al. (2017) <arxiv:1704.00076>.
Authors:
MultiVarSel_1.1.3.tar.gz
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MultiVarSel_1.1.3.tar.gz(r-4.5-noble)MultiVarSel_1.1.3.tar.gz(r-4.4-noble)
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MultiVarSel.pdf |MultiVarSel.html✨
MultiVarSel/json (API)
| # Install 'MultiVarSel' in R: |
| install.packages('MultiVarSel', repos = c('https://marie-perrotdockes.r-universe.dev', 'https://cloud.r-project.org')) |
- Y - This is a metabolomic dataset from 30 copals samples of trees coming from Africa
- group - This is a qualitative variable indicating the type of tree each row of Y is.
- metab - This is a dataset containing the abundance of 199 metabolites from 9 seeds samples just after germination. The temperature of seed maturation vary between the different seeds.
- prot - This is a dataset containing the abundance of 724 proteins from 9 seeds samples just after germination. The temperature of seed maturation vary between the different seeds.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:f2856dae70. Checks:4 OK, 4 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 13 2025 |
| R-4.5-win | OK | Feb 13 2025 |
| R-4.5-mac | OK | Feb 13 2025 |
| R-4.5-linux | OK | Feb 13 2025 |
| R-4.4-win | NOTE | Feb 13 2025 |
| R-4.4-mac | NOTE | Feb 13 2025 |
| R-4.3-win | NOTE | Feb 13 2025 |
| R-4.3-mac | NOTE | Feb 13 2025 |
Exports:variable_selectionwhiteningwhitening_choicewhitening_test
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
