The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 2.0.3 |
| Depends: | R (≥ 3.3.0) |
| Imports: | digest (≥ 0.6.0), Rcpp (≥ 1.0.8) |
| LinkingTo: | Rcpp, RcppEigen, RcppGSL |
| Published: | 2022-11-15 |
| DOI: | 10.32614/CRAN.package.mmpca |
| Author: | Jonatan Kallus [aut], Felix Held [ctb, cre] |
| Maintainer: | Felix Held <felix.held at gmail.com> |
| BugReports: | https://github.com/cyianor/mmpca/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/cyianor/mmpca |
| NeedsCompilation: | yes |
| SystemRequirements: | C++14 |
| Materials: | README NEWS |
| CRAN checks: | mmpca results |
| Reference manual: | mmpca.pdf |
| Package source: | mmpca_2.0.3.tar.gz |
| Windows binaries: | r-devel: mmpca_2.0.3.zip, r-release: mmpca_2.0.3.zip, r-oldrel: mmpca_2.0.3.zip |
| macOS binaries: | r-release (arm64): mmpca_2.0.3.tgz, r-oldrel (arm64): mmpca_2.0.3.tgz, r-release (x86_64): mmpca_2.0.3.tgz, r-oldrel (x86_64): mmpca_2.0.3.tgz |
| Old sources: | mmpca archive |
Please use the canonical form https://CRAN.R-project.org/package=mmpca to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.