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enetLTS (version 0.1.0)

Robust and Sparse Methods for High Dimensional Linear and Logistic Regression

Description

Fully robust versions of the elastic net estimator are introduced for linear and logistic regression, in particular high dimensional data by Kurnaz, Hoffmann and Filzmoser (2017) . The algorithm searches for outlier free subsets on which the classical elastic net estimators can be applied.

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Install

install.packages('enetLTS')

Monthly Downloads

154

Version

0.1.0

License

GPL (>= 3)

Maintainer

Last Published

January 22nd, 2018

Functions in enetLTS (0.1.0)