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:Charles Bouveyron & Stephane Girard

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 165 downloads 2 exports 4 dependencies

Last updated 4 years agofrom:0267ce99b3. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 23 2024
R-4.5-linuxOKDec 23 2024

Exports:predict.rmdarmda

Dependencies:MASSmclustRsolnptruncnorm