OmicsPLS: Data Integration with 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 the software article by el Bouhaddani et al (2018) <doi:10.1186/s12859-018-2371-3>, and Trygg and Wold (2003) <doi:10.1002/cem.775>.

Version: 1.2.0
Imports: ggplot2, parallel, magrittr, tibble
Suggests: testthat, knitr, rmarkdown, gplots
Published: 2019-07-24
Author: Said el Bouhaddani, Jeanine Houwing-Duistermaat, Geurt Jongbloed, Szymon Kielbasa and Hae-Won Uh
Maintainer: Said el Bouhaddani <s.elbouhaddani at umcutrecht.nl>
License: GPL-3
NeedsCompilation: no
Citation: OmicsPLS citation info
CRAN checks: OmicsPLS results

Downloads:

Reference manual: OmicsPLS.pdf
Vignettes: The OmicsPLS R Package
Package source: OmicsPLS_1.2.0.tar.gz
Windows binaries: r-devel: OmicsPLS_1.2.0.zip, r-release: OmicsPLS_1.2.0.zip, r-oldrel: OmicsPLS_1.2.0.zip
OS X binaries: r-release: OmicsPLS_1.2.0.tgz, r-oldrel: OmicsPLS_1.2.0.tgz
Old sources: OmicsPLS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=OmicsPLS to link to this page.