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) , Boccard and Rutledge (2013) , and Puig-CastellvĂ­ et al. (2021) .


Reference manual

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install.packages("R.ComDim")

1.0.0 by Francesc Puig-CastellvĂ­, 6 months ago


Browse source code at https://github.com/cran/R.ComDim


Authors: Francesc Puig-CastellvĂ­ [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports pracma, utils, ggplot2, ConsensusOPLS

Depends on methods

Suggests gridExtra, imputeLCMD, ica, MultiAssayExperiment, SummarizedExperiment, ropls


See at CRAN