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

1 exports 2 stars 0.84 score 4 dependencies 303 downloads

Last updated 2 years agofrom:273cdaecbe. Checks:OK: 1 NOTE: 8. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 06 2024
R-4.5-win-x86_64	NOTE	Sep 06 2024
R-4.5-linux-x86_64	NOTE	Sep 06 2024
R-4.4-win-x86_64	NOTE	Sep 06 2024
R-4.4-mac-x86_64	NOTE	Sep 06 2024
R-4.4-mac-aarch64	NOTE	Sep 06 2024
R-4.3-win-x86_64	NOTE	Sep 06 2024
R-4.3-mac-x86_64	NOTE	Sep 06 2024
R-4.3-mac-aarch64	NOTE	Sep 06 2024