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.
Robust mixture discriminant analysis (RMDA), proposed in Bouveyron & Girard, 2009 <doi:10.1016/j.patcog.2009.03.027>, allows to build a robust supervised classifier from learning data with label noise. The idea of the proposed method is to confront an unsupervised modeling of the data with the supervised information carried by the labels of the learning data in order to detect inconsistencies. The method is able afterward to build a robust classifier taking into account the detected inconsistencies into the labels.
| Version: | 1.2 |
| Depends: | MASS, mclust, Rsolnp |
| Published: | 2020-10-14 |
| DOI: | 10.32614/CRAN.package.robustDA |
| Author: | Charles Bouveyron & Stephane Girard |
| Maintainer: | Charles Bouveyron <charles.bouveyron at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | Robust |
| CRAN checks: | robustDA results |
| Reference manual: | robustDA.pdf |
| Package source: | robustDA_1.2.tar.gz |
| Windows binaries: | r-devel: robustDA_1.2.zip, r-release: robustDA_1.2.zip, r-oldrel: robustDA_1.2.zip |
| macOS binaries: | r-release (arm64): robustDA_1.2.tgz, r-oldrel (arm64): robustDA_1.2.tgz, r-release (x86_64): robustDA_1.2.tgz, r-oldrel (x86_64): robustDA_1.2.tgz |
| Old sources: | robustDA archive |
Please use the canonical form https://CRAN.R-project.org/package=robustDA 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.