MUVR2: Multivariate Methods with Unbiased Variable Selection

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

Documentation:

Reference manual:

MUVR2.html , MUVR2.pdf

Downloads:

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

Reverse dependencies:

Reverse suggests:

notameStats

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MUVR2 to link to this page.