R: Selection of linear estimators

LINselect-package {LINselect} | R Documentation

## Selection of linear estimators

### Description

LINselect allows to estimate the mean of a Gaussian vector, by choosing among a large collection of estimators. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.

### Details

Package: | LINselect
Title: | Selection of linear estimators
Version: | 0.0-0
Date: | 2013-03-01
Author: | Yannick Baraud, Christophe Giraud, Sylvie Huet
Maintainer: | Annie Bouvier <Annie.Bouvier@jouy.inra.fr>
Suggests: | mvtnorm, elasticnet, MASS, randomForest, pls, gtools
License: | GPL (>= 3)
URL: |
Encoding: | latin1

### Author(s)

Yannick Baraud, Christophe Giraud, Sylvie Huet

[Package LINselect version 1.1 Index]