LINselect: Selection of Linear Estimators
Version 1.1

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 details

AuthorYannick Baraud, Christophe Giraud, Sylvie Huet
Date of publication2017-04-20 15:21:51 UTC
MaintainerAnnie Bouvier <Annie.Bouvier@inra.fr>
LicenseGPL (>= 3)
Version1.1
URL
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("LINselect")

Try the LINselect package in your browser

Any scripts or data that you put into this service are public.

LINselect documentation built on May 29, 2017, 9:34 a.m.