mvs: Methods for High-Dimensional Multi-View Learning
Methods for high-dimensional multi-view learning based on the multi-view stacking (MVS) framework.
For technical details on the MVS and stacked penalized logistic regression (StaPLR) methods see Van Loon, Fokkema, Szabo, & De Rooij (2020) <doi:10.1016/j.inffus.2020.03.007> and Van Loon et al. (2022) <doi:10.3389/fnins.2022.830630>.
Version: |
1.0.2 |
Depends: |
glmnet (≥ 1.9-8) |
Imports: |
foreach (≥ 1.4.4) |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2023-08-15 |
Author: |
Wouter van Loon [aut, cre],
Marjolein Fokkema [ctb] |
Maintainer: |
Wouter van Loon <w.s.van.loon at fsw.leidenuniv.nl> |
License: |
GPL-2 |
NeedsCompilation: |
no |
Citation: |
mvs citation info |
Materials: |
README NEWS |
CRAN checks: |
mvs results |
Documentation:
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