The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Computing singular value decomposition with robustness is a challenging task. This package provides an implementation of computing robust SVD using density power divergence (<doi:10.48550/arXiv.2109.10680>). It combines the idea of robustness and efficiency in estimation based on a tuning parameter. It also provides utility functions to simulate various scenarios to compare performances of different algorithms.
| Version: | 1.0.0 |
| Imports: | Rcpp (≥ 1.0.5), MASS, stats, utils, matrixStats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, microbenchmark, pcaMethods |
| Published: | 2021-10-27 |
| DOI: | 10.32614/CRAN.package.rsvddpd |
| Author: | Subhrajyoty Roy [aut, cre] |
| Maintainer: | Subhrajyoty Roy <subhrajyotyroy at gmail.com> |
| BugReports: | https://github.com/subroy13/rsvddpd/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/subroy13/rsvddpd |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | rsvddpd results |
| Reference manual: | rsvddpd.pdf |
| Vignettes: |
Introduction to rSVDdpd |
| Package source: | rsvddpd_1.0.0.tar.gz |
| Windows binaries: | r-devel: rsvddpd_1.0.0.zip, r-release: rsvddpd_1.0.0.zip, r-oldrel: rsvddpd_1.0.0.zip |
| macOS binaries: | r-release (arm64): rsvddpd_1.0.0.tgz, r-oldrel (arm64): rsvddpd_1.0.0.tgz, r-release (x86_64): rsvddpd_1.0.0.tgz, r-oldrel (x86_64): rsvddpd_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=rsvddpd 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.