Package: LINselect
Encoding: UTF-8
Title: Selection of Linear Estimators
Version: 1.1.6
Date: 2025-12-09
Authors@R: c(person(given = "Yannick", family = "Baraud", role = "aut"),
  person(given = "Christophe", family = "Giraud", role = "aut"),
  person(given = "Sylvie", family = "Huet", role = "aut"),
  person(given = "Benjamin", family = "Auder", role = "cre", email = "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: 2026-09-30 10:04:44 UTC; root
Author: Yannick Baraud [aut], Christophe Giraud [aut], Sylvie Huet
        [aut], Benjamin Auder [cre]
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-12-10 06:20:28 UTC
RemoteUrl: https://github.com/cran/LINselect
RemoteRef: HEAD
RemoteSha: 9bde5ac7b96577dc198b696eb2f018d68fed7155