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:

Reference manual:

mvs.pdf

Downloads:

Package source:	mvs_1.0.2.tar.gz
Windows binaries:	r-devel: mvs_1.0.2.zip, r-release: mvs_1.0.2.zip, r-oldrel: mvs_1.0.2.zip
macOS binaries:	r-release (arm64): mvs_1.0.2.tgz, r-oldrel (arm64): mvs_1.0.2.tgz, r-release (x86_64): mvs_1.0.2.tgz, r-oldrel (x86_64): mvs_1.0.2.tgz

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