o2plsda: Multiomics Data Integration

Provides functions to do 'O2PLS-DA' analysis for multiple omics data integration. The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter" which published by Johan Trygg and Svante Wold at 2003 <doi:10.1002/cem.775>. 'O2PLS' is a bidirectional multivariate regression method that aims to separate the covariance between two data sets (it was recently extended to multiple data sets) (Löfstedt and Trygg, 2011 <doi:10.1002/cem.1388>; Löfstedt et al., 2012 <doi:10.1016/j.aca.2013.06.026>) from the systematic sources of variance being specific for each data set separately.

Version: 0.0.15
Imports: Rcpp (≥ 1.0.7), dplyr, magrittr, parallel, ggplot2, ggrepel, methods, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, markdown, rmarkdown
Published: 2022-03-03
Author: Kai Guo [aut, cre], Junguk Hur [aut], Eva Feldman [aut]
Maintainer: Kai Guo <guokai8 at gmail.com>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: o2plsda results

Documentation:

Reference manual: o2plsda.pdf
Vignettes: o2plsda

Downloads:

Package source: o2plsda_0.0.15.tar.gz
Windows binaries: r-devel: o2plsda_0.0.15.zip, r-release: o2plsda_0.0.15.zip, r-oldrel: o2plsda_0.0.15.zip
macOS binaries: r-release (arm64): o2plsda_0.0.15.tgz, r-release (x86_64): o2plsda_0.0.15.tgz, r-oldrel: o2plsda_0.0.15.tgz
Old sources: o2plsda archive

Linking:

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