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LINselect

1.1.6

Selection of Linear Estimators

1packages depend
3.7Kdownloads / year
88.5%test coverage
13/13checks pass

Overview

About
Maintained by Benjamin AuderFirst published 2013-12-209 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.00
88.5%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-24
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-23
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
96%
Return-value docs
100%
References docs
50%

Downloads

3.7K
CRAN downloads in the past year
Rank #12,191 · ~10/day · ~310/mo
Daily download trend is not available in this view yet.
21130 days
82390 days
3.7K1 year
Compare downloads with other packages →
Also on124 r2u18 autocran1.9K conda_forge

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (4)
Maintainer (1)
Maintainer · added in 1.1.6
Authors (3)
Package Timeline

9 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.6Latest
    2025-12-10 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.5
    2023-12-07 · diff ↗
  • 1.1.4
    2023-08-30 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.1.3
    2020-01-10 · diff ↗
  • 1.1.2
    2020-01-09 · diff ↗
  • unarchivedReturned to CRAN
    2020-01-09
  • 1.1.1
    2019-04-26 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • orphanedOrphaned by its maintainer
    2018-06-09
    maintainer has retired and her email address now bounces
Show 9 earlier events
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.1
    2017-04-20 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 0.0-2
    2015-08-26 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 0.0-1
    2013-12-20
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-12-20
Total releases
9 / 13 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Download size
311 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LINselect")
Auder, B., Baraud, Y., Giraud, C., & Huet, S. (2025). LINselect: Selection of Linear Estimators (Version 1.1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.LINselect

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LINselect version 1.1.6 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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