mvs-package

Methods for high-dimensional multi-view learning based on the multi-view stacking (MVS) framework. For technical details on the MVS and StaPLR methods see &lt;doi:10.1016/j.inffus.2020.03.007&gt; and &lt;doi:10.3389/fnins.2022.830630&gt;.

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>.

Wouter van Loon

Methods for High-Dimensional Multi-View Learning

Marjolein Fokkema

mvs-package function

Wouter van Loon [cre, aut] &lt;<a href="/link/w.s.van.loon%40fsw.leidenuniv.nl?package=mvs&version=2.0.0" data-mini-rdoc="mvs::w.s.van.loon@fsw.leidenuniv.nl">w.s.van.loon@fsw.leidenuniv.nl</a>&gt;
Marjolein Fokkema [ctb]

Author

mvs: Methods for High-Dimensional Multi-View Learning. — mvs-package

Wouter van Loon [cre, aut] &lt;<a href='mailto:w.s.van.loon@fsw.leidenuniv.nl'>w.s.van.loon@fsw.leidenuniv.nl</a>&gt;
Marjolein Fokkema [ctb]

mvs-package: mvs: Methods for High-Dimensional Multi-View Learning.

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