Package: MUVR2 Title: Multivariate Methods with Unbiased Variable Selection Version: 0.1.0 Authors@R: c(person(given = "Carl", family = "Brunius", role = "aut", email = "carl.brunius@chalmers.se"), person(given = "Yingxiao", family = "Yan", role = c("aut", "cre"), email = "yingxiao@chalmers.se")) Author: Carl Brunius [aut], Yingxiao Yan [aut, cre] Maintainer: Yingxiao Yan Description: Predictive multivariate modelling for metabolomics. Types: Classification and regression. Methods: Partial Least Squares, Random Forest ans Elastic Net Data structures: Paired and unpaired Validation: repeated double cross-validation (Westerhuis et al. (2008), Filzmoser et al. (2009)) Variable selection: Performed internally, through tuning in the inner cross-validation loop. URL: https://github.com/MetaboComp/MUVR2 BugReports: https://github.com/MetaboComp/MUVR2/issues Depends: R (>= 3.5.0) Imports: stats, graphics, randomForest, ranger, pROC, doParallel, foreach, caret, glmnet, splines, dplyr, psych, magrittr, mgcv, grDevices, parallel License: GPL-3 LazyData: true RoxygenNote: 7.3.2 Encoding: UTF-8 Suggests: testthat (>= 3.0.0) Config/testthat/edition: 3 Config/pak/sysreqs: libicu-dev Repository: https://metabocomp.r-universe.dev Date/Publication: 2024-09-18 06:39:51 UTC RemoteUrl: https://github.com/metabocomp/muvr2 RemoteRef: HEAD RemoteSha: 861ac7bdd77996a4b611fbffc621be0d51ca873d NeedsCompilation: no Packaged: 2026-06-20 08:39:45 UTC; root