OmicsPLS: Perform Two-Way Orthogonal Partial Least Squares

Performs the O2PLS data integration method for two datasets yielding joint and data-specific parts for each dataset. The algorithm automatically switches to a memory-efficient approach to fit O2PLS to high dimensional data. It provides a rigorous and a faster alternative cross-validation method to select the number of components, as well as functions to report proportions of explained variation and to construct plots of the results. See Trygg and Wold (2003) <doi:10.1002/cem.775> and el Bouhaddani et al (2016) <doi:10.1186/s12859-015-0854-z>.

Version: 1.0.3
Imports: ggplot2, parallel
Suggests: testthat, knitr, rmarkdown, gplots
Published: 2017-08-07
Author: Said el Bouhaddani, Jeanine Houwing-Duistermaat, Geurt Jongbloed, Szymon Kielbasa and Hae-Won Uh
Maintainer: Said el Bouhaddani <s.el_bouhaddani at lumc.nl>
License: GPL-3
NeedsCompilation: no
Citation: OmicsPLS citation info
Materials: README
CRAN checks: OmicsPLS results

Downloads:

Reference manual: OmicsPLS.pdf
Vignettes: Vignette Title
Package source: OmicsPLS_1.0.3.tar.gz
Windows binaries: r-devel: OmicsPLS_1.0.3.zip, r-release: OmicsPLS_1.0.3.zip, r-oldrel: OmicsPLS_1.0.3.zip
OS X El Capitan binaries: r-release: OmicsPLS_1.0.3.tgz
OS X Mavericks binaries: r-oldrel: OmicsPLS_1.0.3.tgz
Old sources: OmicsPLS archive

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