Package: LINselect
Encoding: UTF-8
Title: Selection of Linear Estimators
Version: 1.1.5
Date: 2023-12-06
Author: Yannick Baraud, Christophe Giraud, Sylvie Huet
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
Description: Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators,
  following the method developed by Y. Baraud, C. Giraud and S. Huet (2014) <doi:10.1214/13-AIHP539>.
  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.
Imports: mvtnorm, elasticnet, MASS, randomForest, pls, gtools, stats
Depends: R (>= 3.5.0)
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2023-12-06 21:44:31 UTC; ba
Repository: CRAN
Date/Publication: 2023-12-07 05:40:02 UTC
Built: R 4.2.0; ; 2023-12-21 05:23:03 UTC; unix
