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.
R implementation of Maximum Likelihood Principal Component Analysis The main idea of this package is to have an alternative way of PCA for subspace modeling that considers measurement errors. More details can be found in Peter D. Wentzell (2009) <doi:10.1016/B978-0-444-64165-6.03029-9>.
| Version: | 0.0.1 |
| Depends: | R (≥ 2.10) |
| Imports: | base, Matrix, pracma, RSpectra |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2020-11-05 |
| DOI: | 10.32614/CRAN.package.RMLPCA |
| Author: | Renan Santos Barbosa [aut, cre] |
| Maintainer: | Renan Santos Barbosa <renansantosbarbosa at usp.br> |
| BugReports: | https://github.com/renanestatcamp/RMLPCA/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/renanestatcamp/RMLPCA |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | RMLPCA results |
| Reference manual: | RMLPCA.pdf |
| Package source: | RMLPCA_0.0.1.tar.gz |
| Windows binaries: | r-devel: RMLPCA_0.0.1.zip, r-release: RMLPCA_0.0.1.zip, r-oldrel: RMLPCA_0.0.1.zip |
| macOS binaries: | r-release (arm64): RMLPCA_0.0.1.tgz, r-oldrel (arm64): RMLPCA_0.0.1.tgz, r-release (x86_64): RMLPCA_0.0.1.tgz, r-oldrel (x86_64): RMLPCA_0.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=RMLPCA 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.