Package: mmpca 2.0.3

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) <arxiv:1911.04927>.

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

mmpca_2.0.3.tar.gz
mmpca_2.0.3.zip(r-4.5)mmpca_2.0.3.zip(r-4.4)mmpca_2.0.3.zip(r-4.3)
mmpca_2.0.3.tgz(r-4.4-x86_64)mmpca_2.0.3.tgz(r-4.4-arm64)mmpca_2.0.3.tgz(r-4.3-x86_64)mmpca_2.0.3.tgz(r-4.3-arm64)
mmpca_2.0.3.tar.gz(r-4.5-noble)mmpca_2.0.3.tar.gz(r-4.4-noble)
mmpca_2.0.3.tgz(r-4.4-emscripten)mmpca_2.0.3.tgz(r-4.3-emscripten)
mmpca.pdf |mmpca.html✨
mmpca/json (API)
NEWS

# 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 241 downloads 1 exports 4 dependencies

Last updated 9 days agofrom:a1124768a5. Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 24 2025
R-4.5-win-x86_64	OK	Jan 24 2025
R-4.5-linux-x86_64	OK	Jan 24 2025
R-4.4-win-x86_64	OK	Jan 24 2025
R-4.4-mac-x86_64	OK	Jan 24 2025
R-4.4-mac-aarch64	OK	Jan 24 2025
R-4.3-win-x86_64	OK	Jan 24 2025
R-4.3-mac-x86_64	OK	Jan 24 2025
R-4.3-mac-aarch64	OK	Jan 24 2025