Package: mmpca 2.0.4

mmpca: 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 et al. (2019) <doi:10.48550/arXiv.1911.04927>.

Authors:Jonatan Kallus [aut], Felix Held [ctb, cre]

mmpca_2.0.4.tar.gz
mmpca_2.0.4.zip(r-4.7-x86_64)mmpca_2.0.4.zip(r-4.7-arm64)mmpca_2.0.4.zip(r-4.6-x86_64)mmpca_2.0.4.zip(r-4.6-arm64)mmpca_2.0.4.zip(r-4.5-x86_64)
mmpca_2.0.4.tgz(r-4.6-x86_64)mmpca_2.0.4.tgz(r-4.6-arm64)mmpca_2.0.4.tgz(r-4.5-x86_64)mmpca_2.0.4.tgz(r-4.5-arm64)
mmpca_2.0.4.tar.gz(r-4.7-arm64)mmpca_2.0.4.tar.gz(r-4.7-x86_64)mmpca_2.0.4.tar.gz(r-4.6-arm64)mmpca_2.0.4.tar.gz(r-4.6-x86_64)
mmpca_2.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mmpca/json (API)

# Install 'mmpca' in R:

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

Bug tracker:https://github.com/cyianor/mmpca/issues

Uses libs:

gsl– GNU Scientific Library (GSL)
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

data-integration gsl cpp openmp

3.00 score 2 stars 313 downloads 1 exports 4 dependencies

Last updated from:2170f736f8. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	100
linux-devel-x86_64	OK	115
source / vignettes	OK	158
linux-release-arm64	OK	94
linux-release-x86_64	OK	115
macos-release-arm64	OK	88
macos-release-x86_64	OK	491
macos-oldrel-arm64	OK	242
macos-oldrel-x86_64	OK	436
windows-devel-arm64	OK	372
windows-devel-x86_64	OK	152
windows-release-arm64	OK	383
windows-release-x86_64	OK	149
windows-oldrel-x86_64	OK	102
wasm-release	OK	95