R Observatory: Metrics for SVEMnet version 3.6.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SVEMnet

3.6.2Package record

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

0packages depend

3.7Kdownloads / year

76.9%test coverage

13/13flavors OK

Overview

About

Maintained by Andrew T. KarlCRAN page ↗

Implements the self-validated elastic-net and relaxed elastic-net ensemble modeling and multi-response optimization workflow described in Karl (2026) doi:10.1016/j.chemolab.2026.105660. Self-validated ensemble models (SVEM; Lemkus et al. (2021) doi:10.1016/j.chemolab.2021.104439) are fitted for small-sample design-of-experiments and related workflows using '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). 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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 3.6.2

READMENoVignettesNoNEWSYes · 33% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 30includes a package overview page
Examples that run: 91%20 run in a plain check · 2 never run
Exported functions with examples: 84%
Documented parameters: 99%
Return-value docs: 95%
Help pages citing references: 30%

How these are measured

Downloads

3.7K

CRAN downloads in the past year

Rank #7,694 · ~10/day · ~311/mo

Releases R versions

Daily download trend is not available in this view yet.

57730 days

1.2K90 days

3.7K1 year

Compare downloads with other packages →

Also on141 r2u12 autocran

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing SVEMnet adds 24 packages (11 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, glmnet 2.7 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.0.0

Imports (7)

glmnetstatsclusterggplot2 lhsparallelutils

LinkingTo (0)

none

Suggests (3)

foreach testthat RhpcBLASctl

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Andrew T. Karl

Maintainer since 1.0.3 (2024), Author

Listed in earlier versions (3)

Show 3 peopleHide 3 people

Fiona McElduff

no longer listed · 3.6.0

Robert Rigby

no longer listed · 3.6.0

Mikis Stasinopoulos

no longer listed · 3.6.0

Releases (18)

Pick two releases to compare their code metrics.

3.6.2Latest
record
2026-09-18 · current release · diff ↗
3.6.0
record
2026-09-06 · diff ↗
3.5.0
record
2026-08-20 · diff ↗ ·
added 4 exports
forward_aicc, svem_forward, svem_ij_variance, svem_thompson_batch
3.2.3
record
2026-06-02 · diff ↗
3.2.1
record
2026-06-02 · diff ↗
R
R 4.6.0 released · 2026-04-24
3.2.0
record
2026-01-23 · diff ↗
3.1.4
record
2025-11-28 · diff ↗
3.1.2
record
2025-11-24 · diff ↗ ·
removed 2 exports
bigexp_model_matrix, svem_optimize_random

added 4 exports
svem_export_candidates_csv, svem_score_random, svem_select_from_score_table, svem_wmt_multi
2.5.4
record
2025-11-09 · diff ↗ ·
removed 2 exports
predict_with_ci, svem_significance_test

added 1 export
svem_nonzero
2.3.1
record
2025-10-14 · diff ↗
2.2.4
record
2025-09-26 · diff ↗ ·
removed 1 export
svem_random_table_from_model

added 9 exports
bigexp_formula, bigexp_model_matrix, bigexp_prepare, bigexp_terms, bigexp_train, predict_with_ci, svem_optimize_random, svem_random_table_multi, with_bigexp_contrasts
2.1.3
record
2025-09-09 · diff ↗ ·
removed 1 export
svem_random_table

added 1 export
svem_random_table_from_model
1.5.3
record
2025-08-23 · diff ↗
1.4.0
record
2025-08-18 · diff ↗ ·
added 1 export
svem_random_table
R
R 4.5.0 released · 2025-04-11

Show 5 earlier eventsHide 5 earlier events

1.3.0
record
2024-12-21 · diff ↗ ·
added 2 exports
glmnet_with_cv, predict_cv
1.2.1
record
2024-12-07 · diff ↗ ·
added 1 export
svem_significance_test_parallel
1.1.1
record
2024-11-30 · diff ↗
1.0.3
record
2024-11-20
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-11-20
Total releases: 18 / 2 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 4.0.0
Bundled data: 1.5 KB / 1 file
Download size: 257 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SVEMnet")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SVEMnet version 3.6.2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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