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robustDA  

Robust Mixture Discriminant Analysis
View on CRAN: Click here


Download and install robustDA package within the R console
Install from CRAN:
install.packages("robustDA")

Install from Github:
library("remotes")
install_github("cran/robustDA")

Install by package version:
library("remotes")
install_version("robustDA", "1.2")



Attach the package and use:
library("robustDA")
Maintained by
Charles Bouveyron
[Scholar Profile | Author Map]
First Published: 2014-09-29
Latest Update: 2020-10-14
Description:
Robust mixture discriminant analysis (RMDA), proposed in Bouveyron & Girard, 2009 , 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.
How to cite:
Charles Bouveyron (2014). robustDA: Robust Mixture Discriminant Analysis. R package version 1.2, https://cran.r-project.org/web/packages/robustDA. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.0 (2014-09-29 07:27), 1.1 (2015-01-14 01:22)
Other packages that cited robustDA R package
View robustDA citation profile
Other R packages that robustDA depends, imports, suggests or enhances
Complete documentation for robustDA
Functions, R codes and Examples using the robustDA R package
Some associated functions: predict.rmda . rmda . robustDA-package . 
Some associated R codes: predict.rmda.R . rmda.R . robustDA-internal.R .  Full robustDA package functions and examples
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