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robustDA
View on CRAN: Click
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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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-29
Latest Update: 2020-10-14
Description:
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.
How to cite:
Charles Bouveyron (2014). robustDA: Robust Mixture Discriminant Analysis. R package version 1.2, https://cran.r-project.org/web/packages/robustDA
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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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