R Observatory: Metrics for SVEMnet version 3.2.3

Balamuta, James Joseph

SVEMnet

3.2.3

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

0packages depend

3.6Kdownloads / 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

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("SVEMnet", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-svemnet

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-SVEMnet

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-SVEMnet

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.0 min · r-devel-linux-x86_64-fedora-clang

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

READMENoVignettesNopkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 53%
Documented parameters: 99%
Return-value docs: 93%
References docs: 21%

Downloads

3.6K

CRAN downloads in the past year

Rank #11,239 · ~10/day · ~304/mo

Releases R versions

Daily download trend is not available in this view yet.

11630 days

88290 days

3.6K1 year

Compare downloads with other packages →

Also on173 r2u5 autocran

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (11)

glmnetstatsclusterggplot2 lhs foreach doParallelparallelgamlss gamlss.distutils

LinkingTo (0)

none

Suggests (7)

covr knitr rmarkdown testthat withr vdiffr RhpcBLASctl

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Andrew T. Karl

Maintainer, Author

Authors (1)

Andrew T. Karl

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: 155 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("SVEMnet")

CRAN DOI

https://doi.org/10.32614/CRAN.package.SVEMnet

BibTeX, derived from DESCRIPTION

@Manual{SVEMnet,
  title  = {SVEMnet: Self-Validated Ensemble Models with Lasso and Relaxed Elastic
Net Regression},
  author = {Karl, Andrew T.},
  year   = {2026},
  note   = {R package version 3.2.3},
  doi    = {10.32614/CRAN.package.SVEMnet},
  url    = {https://CRAN.R-project.org/package=SVEMnet}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorySVEMnet,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {SVEMnet} version 3.2.3},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/SVEMnet},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SVEMnet version 3.2.3 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/SVEMnet

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for SVEMnet version 3.2.3
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/SVEMnet
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/SVEMnet.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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