This package is considered a duplicate. The official version of this package is found at:https://cyianor.r-universe.dev/mmpca
Package: mmpca 2.0.4
Felix Held
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:
mmpca_2.0.4.tar.gz
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✨
card.svg |card.png
mmpca/json (API)
NEWS
| # Install 'mmpca' in R: |
| install.packages('mmpca', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cyianor/mmpca/issues
Uses libs:
Last updated from:2014e48cc5. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 130 | ||
| linux-devel-x86_64 | OK | 132 | ||
| source / vignettes | OK | 155 | ||
| linux-release-arm64 | OK | 126 | ||
| linux-release-x86_64 | OK | 119 | ||
| wasm-release | OK | 120 |
Exports:mmpca
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multiview principal component analysis | mmpca |
