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: | 1.1.0 |
| Imports: | ggplot2, parallel |
| Suggests: | testthat, knitr, rmarkdown, gplots |
| Published: | 2018-01-22 |
| 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 |
| Reference manual: | OmicsPLS.pdf |
| Vignettes: |
Vignette Title |
| Package source: | OmicsPLS_1.1.0.tar.gz |
| Windows binaries: | r-devel: OmicsPLS_1.1.0.zip, r-release: OmicsPLS_1.1.0.zip, r-oldrel: OmicsPLS_1.1.0.zip |
| OS X binaries: | r-release: OmicsPLS_1.1.0.tgz, r-oldrel: OmicsPLS_1.1.0.tgz |
| Old sources: | OmicsPLS archive |
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