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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.
Version: | 0.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | stats, graphics, randomForest, ranger, pROC, doParallel, foreach, caret, glmnet, splines, dplyr, psych, magrittr, mgcv, grDevices, parallel |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-09-16 |
DOI: | 10.32614/CRAN.package.MUVR2 |
Author: | Carl Brunius [aut], Yingxiao Yan [aut, cre] |
Maintainer: | Yingxiao Yan <yingxiao at chalmers.se> |
BugReports: | https://github.com/MetaboComp/MUVR2/issues |
License: | GPL-3 |
URL: | https://github.com/MetaboComp/MUVR2 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | MUVR2 results |
Reference manual: | MUVR2.pdf |
Package source: | MUVR2_0.1.0.tar.gz |
Windows binaries: | r-devel: MUVR2_0.1.0.zip, r-release: MUVR2_0.1.0.zip, r-oldrel: MUVR2_0.1.0.zip |
macOS binaries: | r-release (arm64): MUVR2_0.1.0.tgz, r-oldrel (arm64): MUVR2_0.1.0.tgz, r-release (x86_64): MUVR2_0.1.0.tgz, r-oldrel (x86_64): MUVR2_0.1.0.tgz |
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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.