| LINselect-package {LINselect} | R Documentation |
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 <Annie.Bouvier@jouy.inra.fr> |
| Suggests: | mvtnorm, elasticnet, MASS, randomForest, pls, gtools |
| License: | GPL (>= 3) |
| URL: | |
| Encoding: | latin1 |
Yannick Baraud, Christophe Giraud, Sylvie Huet