This package is considered a duplicate. The official version of this package is found at:https://guokai8.r-universe.dev/o2plsda

Package: o2plsda 0.0.26

Kai Guo

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.

Authors:Kai Guo [aut, cre], Junguk Hur [aut], Eva Feldman [aut]

o2plsda_0.0.26.tar.gz
o2plsda_0.0.26.zip(r-4.7-x86_64)o2plsda_0.0.26.zip(r-4.7-arm64)o2plsda_0.0.26.zip(r-4.6-x86_64)o2plsda_0.0.26.zip(r-4.6-arm64)
o2plsda_0.0.26.tar.gz(r-4.7-arm64)o2plsda_0.0.26.tar.gz(r-4.7-x86_64)o2plsda_0.0.26.tar.gz(r-4.6-arm64)o2plsda_0.0.26.tar.gz(r-4.6-x86_64)
o2plsda_0.0.26.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
o2plsda/json (API)

# Install 'o2plsda' in R:

install.packages('o2plsda', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas cpp openmp

3.02 score 21 scripts 423 downloads 7 exports 28 dependencies

Last updated from:3c75838940. Checks:10 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	119
linux-devel-x86_64	OK	144
source / vignettes	OK	189
linux-release-arm64	OK	114
linux-release-x86_64	OK	136
windows-devel-arm64	OK	198
windows-devel-x86_64	OK	121
windows-release-arm64	OK	246
windows-release-x86_64	OK	131
wasm-release	OK	117

Exports:loadings o2cv o2pls oplsda plsda scores vip

Dependencies:cli cpp11 dplyr farver generics ggplot2 ggrepel glue gtable isoband labeling lifecycle magrittr pillar pkgconfig R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales tibble tidyselect utf8 vctrs viridisLite withr

Omics data integration with o2plsda

Rendered fromo2plsda.Rmdusingknitr::knitr

Last update: 2025-12-01
Started: 2021-11-19

Help page	Topics
Extract the loadings from an O2PLS fit	loadings loadings.O2pls
extract the loading value from the O2PLSDA analysis	loadings.o2plsda
extract the loading value from the PLSDA analysis	loadings.plsda
Cross validation for O2PLS	o2cv
fit O2PLS model with best nc, nx, ny	o2pls
Class "O2pls" This class represents the Annotation information	O2pls-class
Orthogonal partial least squares discriminant analysis	oplsda
Score or loading plot for the O2PLS results	plot.O2pls
Score, VIP or loading plot for the O2PLS results	plot.o2plsda
Score, VIP or loading plot for the plsda results	plot.plsda
Partial least squares discriminant analysis	plsda
Print the summary of O2PLS results.	print.O2pls
Print the summary of plsda results.	print.plsda
Extract the scores from an O2PLS fit	scores
Extract the scores from an O2PLS fit	scores.O2pls
Extract the scores from an O2PLS DA analysis	scores.o2plsda
Extract the scores PLSDA analysis	scores.plsda
Summary of an O2PLS object	summary.O2pls
Summary of an plsda object	summary.plsda
Extract the VIP values from the O2PLS-DA object	vip

Package: o2plsda 0.0.26

o2plsda: Multiomics Data Integration

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)