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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.
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Package details |
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| Author | Carl Brunius [aut], Yingxiao Yan [aut, cre] |
| Maintainer | Yingxiao Yan <yingxiao@chalmers.se> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://github.com/MetaboComp/MUVR2 |
| Package repository | View on CRAN |
| Installation |
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