Integrative Analysis of Several Related Data Matrices

A generalization of principal component analysis for integrative analysis. The method finds principal components that describe single matrices or that are common to several matrices. The solutions are sparse. Rank of solutions is automatically selected using cross validation. The method is described in Kallus, Johansson, Nelander and J├Ârnsten (2019) .


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install.packages("mmpca")

1.0.2 by Jonatan Kallus, 8 hours ago


Browse source code at https://github.com/cran/mmpca


Authors: Jonatan Kallus [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports CMF, digest, gsl

Linking to Rcpp, RcppEigen


See at CRAN