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LINselect

Selection of Linear Estimators

v1.1.6 · Dec 9, 2025 · GPL (>= 3)
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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.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

imports

PhylogeneticEM

Dependency Network

Dependencies Reverse dependencies mvtnorm elasticnet MASS randomForest pls gtools PhylogeneticEM LINselect

Version History

10 tracked
new 1.1.6 Mar 10, 2026
updated 1.1.6 ← 1.1.5 diff Dec 9, 2025
updated 1.1.5 ← 1.1.4 diff Dec 6, 2023
updated 1.1.4 ← 1.1.3 diff Aug 29, 2023
updated 1.1.3 ← 1.1.2 diff Jan 9, 2020
updated 1.1.2 ← 1.1.1 diff Jan 8, 2020
updated 1.1.1 ← 1.1 diff Apr 25, 2019
updated 1.1 ← 0.0-2 diff Apr 19, 2017
updated 0.0-2 ← 0.0-1 diff Aug 25, 2015
new 0.0-1 Dec 19, 2013