Package: robustDA 1.2
Charles Bouveyron
robustDA: Robust Mixture Discriminant Analysis
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.
Authors:
robustDA_1.2.tar.gz
robustDA_1.2.tar.gz(r-4.5-noble)robustDA_1.2.tar.gz(r-4.4-noble)
robustDA_1.2.tgz(r-4.4-emscripten)robustDA_1.2.tgz(r-4.3-emscripten)
robustDA.pdf |robustDA.html✨
robustDA/json (API)
| # Install 'robustDA' in R: |
| install.packages('robustDA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:0267ce99b3. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 25 2024 |
| R-4.5-linux | OK | Aug 25 2024 |
Exports:predict.rmdarmda
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Robust Mixture Discriminant Analysis | robustDA-package robustDA |
| Prediction method for 'rmda' class objects. | predict.rmda |
| Robust Mixture Discriminant Analysis | rmda |