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mmpca  

Integrative Analysis of Several Related Data Matrices
View on CRAN: Click here


Download and install mmpca package within the R console
Install from CRAN:
install.packages("mmpca")

Install from Github:
library("remotes")
install_github("cran/mmpca")

Install by package version:
library("remotes")
install_version("mmpca", "2.0.3")



Attach the package and use:
library("mmpca")
Maintained by
Felix Held
[Scholar Profile | Author Map]
First Published: 2019-11-25
Latest Update: 2022-11-15
Description:
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 et al. (2019) .
How to cite:
Felix Held (2019). mmpca: Integrative Analysis of Several Related Data Matrices. R package version 2.0.3, https://cran.r-project.org/web/packages/mmpca. Accessed 06 May. 2025.
Previous versions and publish date:
1.0.1 (2019-11-30 02:20), 1.0.2 (2019-12-05 10:50), 1.0.3 (2020-02-27 11:00), 1.0 (2019-11-25 12:20), 2.0.0 (2020-03-10 17:40), 2.0.1 (2020-03-20 13:40), 2.0.2 (2022-09-08 11:20)
Other packages that cited mmpca R package
View mmpca citation profile
Other R packages that mmpca depends, imports, suggests or enhances
Complete documentation for mmpca
Functions, R codes and Examples using the mmpca R package
Some associated functions: mmpca . 
Some associated R codes: RcppExports.R . init.R . mmpca-package.R . mmpca.R . ref.R .  Full mmpca package functions and examples
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