LINselect-package: Selection of linear estimators

Description Details Author(s)


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.


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 <>
Suggests: mvtnorm, elasticnet, MASS, randomForest, pls, gtools
License: GPL (>= 3)
Encoding: latin1


Yannick Baraud, Christophe Giraud, Sylvie Huet

LINselect documentation built on Jan. 10, 2020, 9:08 a.m.