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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | MUVR2_0.1.0.tar.gz |
4.3 MiB |
0.1.0 |
rolling linux/noble R-4.5 | MUVR2_0.1.0.tar.gz |
4.3 MiB |
0.1.0 |
rolling source/ R- | MUVR2_0.1.0.tar.gz |
3.9 MiB |
0.1.0 |
latest linux/jammy R-4.5 | MUVR2_0.1.0.tar.gz |
4.3 MiB |
0.1.0 |
latest linux/noble R-4.5 | MUVR2_0.1.0.tar.gz |
4.3 MiB |
0.1.0 |
latest source/ R- | MUVR2_0.1.0.tar.gz |
3.9 MiB |
0.1.0 |
2026-04-26 source/ R- | MUVR2_0.1.0.tar.gz |
3.9 MiB |
0.1.0 |
2026-04-23 source/ R- | MUVR2_0.1.0.tar.gz |
3.9 MiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | MUVR2_0.1.0.zip |
4.3 MiB |
0.1.0 |
2025-04-20 source/ R- | MUVR2_0.1.0.tar.gz |
3.9 MiB |