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 (doi:10.1007/s11306-007-0099-6, doi:10.1002/cem.1225) Variable selection: Performed internally, through tuning in the inner cross-validation loop.
- Version0.1.0
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release09/16/2024
Documentation
Team
Yingxiao Yan
Carl Brunius
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- Imports11 packages
- Suggests1 package