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.
Dimension-reduction methods aim at defining a score that maximizes signal diversity. Three approaches, tree weight, maximum entropy weights, and maximum variance weights are provided. These methods are described in He and Fong (2019) <doi:10.1002/sim.8212>.
| Version: | 2024.8-1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | kyotil, MASS, Matrix |
| Suggests: | R.rsp, RUnit, Rmosek, mvtnorm, gtools |
| Published: | 2024-07-31 |
| DOI: | 10.32614/CRAN.package.mdw |
| Author: | Zonglin He [aut], Youyi Fong [cre] |
| Maintainer: | Youyi Fong <youyifong at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| CRAN checks: | mdw results |
| Reference manual: | mdw.pdf |
| Vignettes: |
Tutorials for the R package mdw (source) |
| Package source: | mdw_2024.8-1.tar.gz |
| Windows binaries: | r-devel: mdw_2024.8-1.zip, r-release: mdw_2024.8-1.zip, r-oldrel: mdw_2024.8-1.zip |
| macOS binaries: | r-release (arm64): mdw_2024.8-1.tgz, r-oldrel (arm64): mdw_2024.8-1.tgz, r-release (x86_64): mdw_2024.8-1.tgz, r-oldrel (x86_64): mdw_2024.8-1.tgz |
| Old sources: | mdw archive |
Please use the canonical form https://CRAN.R-project.org/package=mdw 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.