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 <yingxiao@chalmers.se>
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)<doi:10.1007/s11306-007-0099-6>, Filzmoser et al. (2009)<doi:10.1002/cem.1225>) 
    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
NeedsCompilation: no
Packaged: 2024-09-13 11:07:32 UTC; yingxiao
Repository: CRAN
Date/Publication: 2024-09-16 07:50:11 UTC
Built: R 4.5.3; ; 2026-05-06 20:20:48 UTC; windows
