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:	0.0.25
Imports:	Rcpp (≥ 1.0.7), dplyr, magrittr, parallel, ggplot2, ggrepel, methods, stats
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, markdown, rmarkdown
Published:	2024-07-18
DOI:	10.32614/CRAN.package.o2plsda
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
In views:	Omics
CRAN checks:	o2plsda results

Documentation:

Reference manual:	o2plsda.pdf
Vignettes:	o2plsda

Downloads:

Package source:	o2plsda_0.0.25.tar.gz
Windows binaries:	r-devel: o2plsda_0.0.25.zip, r-release: o2plsda_0.0.25.zip, r-oldrel: o2plsda_0.0.25.zip
macOS binaries:	r-release (arm64): o2plsda_0.0.25.tgz, r-oldrel (arm64): o2plsda_0.0.25.tgz, r-release (x86_64): o2plsda_0.0.25.tgz, r-oldrel (x86_64): o2plsda_0.0.25.tgz
Old sources:	o2plsda archive

Linking:

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