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autotune

0.1.1Package record

Fast, Accurate and Automatic Tuning Parameter Selection for Lasso

0packages depend
701downloads / year
–test coverage
13/13flavors OK

Overview

About

Fits Lasso paths for high-dimensional regression using coordinate descent with automatic, data-driven tuning of the regularization parameter. The implementation is 10 to 200 times faster than the standard 'glmnet' implementation of Lasso tuned via Cross Validation and over 100 times faster than scaled Lasso. It also provides a reliable estimate of the regression noise level and a new diagnostic for sparsity. For details of the method, see Sadhukhan, Wilms, Smeekes and Basu (2025) "Autotune: fast, accurate, and automatic tuning parameter selection for Lasso" doi:10.48550/arXiv.2512.11139.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK7 OK2026-08-22
Advisories

none known

Documentation

In release 0.1.1
READMEYes · 85 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
6includes a package overview page
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
17%
Vignettes (1)

Downloads

701
CRAN downloads in the past year
Rank #18,165 · ~2/day · ~58/mo
Daily download trend is not available in this view yet.
34930 days
70190 days
7011 year
Compare downloads with other packages →
Also on54 r2u38 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing autotune adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (1)
R >= 2.10
Imports (1)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • 0.1.1Latest
    record
    2026-09-02 · current release · diff ↗
  • 0.1.0
    record
    2026-08-21
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-21
Total releases
2 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
975 KB / 1 file
Download size
1.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("autotune")
Sadhukhan, T., Basu, S., Smeekes, S., & Wilms, I. (2026). autotune: Fast, Accurate and Automatic Tuning Parameter Selection for Lasso (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.autotune

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 autotune version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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