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R.ComDim: Common Dimensions (ComDim) Multi-Block Analysis

Common Dimensions (ComDim) is a multi-block method that simultaneously considers multiple data tables to find latent components that are common to all the tables as well as those specific to each data table, along with the contribution of each table to each component. See Jouan-Rimbaud Bouveresse and Rutledge (2024) <doi:10.1002/cem.3454>, Boccard and Rutledge (2013) <doi:10.1016/j.aca.2013.01.022>, and Puig-Castellví et al. (2021) <doi:10.1016/j.chemolab.2021.104422>.

Version: 1.0.0
Depends: methods
Imports: pracma, utils, ggplot2, ConsensusOPLS
Suggests: gridExtra, imputeLCMD, ica, MultiAssayExperiment, SummarizedExperiment, ropls
Published: 2026-05-13
DOI: 10.32614/CRAN.package.R.ComDim
Author: Francesc Puig-Castellví [aut, cre]
Maintainer: Francesc Puig-Castellví <puig.francesc at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: R.ComDim citation info
CRAN checks: R.ComDim results

Documentation:

Reference manual: R.ComDim.html , R.ComDim.pdf

Downloads:

Package source: R.ComDim_1.0.0.tar.gz
Windows binaries: r-devel: R.ComDim_1.0.0.zip, r-release: R.ComDim_1.0.0.zip, r-oldrel: R.ComDim_1.0.0.zip
macOS binaries: r-release (arm64): R.ComDim_1.0.0.tgz, r-oldrel (arm64): R.ComDim_1.0.0.tgz, r-release (x86_64): R.ComDim_1.0.0.tgz, r-oldrel (x86_64): R.ComDim_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.