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SVEMnet

3.2.3

Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression

0packages depend
3.7Kdownloads / year
61.0%test coverage
13/13checks pass

Overview

About
Maintained by Andrew T. KarlFirst published 2024-11-2015 releasesCRAN page ↗

Tools for fitting self-validated ensemble models (SVEM; Lemkus et al. (2021) doi:10.1016/j.chemolab.2021.104439) in small-sample design-of-experiments and related workflows, using elastic net and relaxed elastic net regression via 'glmnet' (Friedman et al. (2010) doi:10.18637/jss.v033.i01). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, and a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions. Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl (2024) doi:10.1016/j.chemolab.2024.105122). The package and its workflows are described in Karl (2026) doi:10.1016/j.chemolab.2026.105660. Package code was drafted with assistance from generative AI tools.

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.17
61.0%
Coverage · measured lines
100%
Documentation · exports
11
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
53%
Documented parameters
99%
Return-value docs
93%
References docs
21%

Downloads

3.7K
CRAN downloads in the past year
Rank #10,309 · ~10/day · ~305/mo
Daily download trend is not available in this view yet.
16030 days
93490 days
3.7K1 year
Compare downloads with other packages →
Also on173 r2u20 autocran

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (11)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Maintainer, Author
Authors (1)
Maintainer, Author
Package Timeline

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

  • 3.2.3Latest
    2026-07-02 · current release · diff ↗
  • 3.2.1
    2026-06-03 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 3.2.0
    2026-01-23 · diff ↗
  • 3.1.4
    2025-11-28 · diff ↗
  • 3.1.2
    2025-11-24 · diff ↗
  • 2.5.4
    2025-11-09 · diff ↗
  • 2.3.1
    2025-10-14 · diff ↗
  • 2.2.4
    2025-09-26 · diff ↗
  • 2.1.3
    2025-09-09 · diff ↗
  • 1.5.3
    2025-08-23 · diff ↗
  • 1.4.0
    2025-08-18 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.3.0
    2024-12-21 · diff ↗
  • 1.2.1
    2024-12-07 · diff ↗
  • 1.1.1
    2024-11-30 · diff ↗
Show 2 earlier events
  • 1.0.3
    2024-11-20
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-11-20
Total releases
15 / 2 yrs
License
GPL-2 | GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
1.5 KB / 1 file
Download size
169 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SVEMnet")
Karl, A. T. (2026). SVEMnet: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression (Version 3.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.SVEMnet

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 SVEMnet version 3.2.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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