R Observatory: Metrics for swag version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

swag

0.1.0Package record

Sparse Wrapper Algorithm

0packages depend

2.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Samuel OrsoCRAN page ↗GitHub ↗Issues ↗

An algorithm that trains a meta-learning procedure that combines screening and wrapper methods to find a set of extremely low-dimensional attribute combinations. This package works on top of the 'caret' package and proceeds in a forward-step manner. More specifically, it builds and tests learners starting from very few attributes until it includes a maximal number of attributes by increasing the number of attributes at each step. Hence, for each fixed number of attributes, the algorithm tests various (randomly selected) learners and picks those with the best performance in terms of training error. Throughout, the algorithm uses the information coming from the best learners at the previous step to build and test learners in the following step. In the end, it outputs a set of strong low-dimensional learners.

Changes in 0.1.0

First version for submission to CRAN. The package is made available on GitHub (github.com/SMAC-Group/SWAG-R-Package/)

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("SMAC-Group/SWAG-R-Package")

Development version from SMAC-Group/SWAG-R-Package. Installs pak first if it is not already available.

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-swag

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-swag

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-swag

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: 5.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK, 1 FAILURE2026-06-08
NOTE12 OK, 1 NOTE2026-06-07
OK13 OK2026-05-02

Show 2 earlier changesHide 2 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 1,103 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3
Examples that run: no examples
Exported functions with examples: 0%
Documented parameters: 100%
Return-value docs: 50%
Help pages citing references: 33% with a bibliography file

Vignettes (1)

Introduction to swag HTML

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #14,732 · ~7/day · ~221/mo

Releases R versions

Daily download trend is not available in this view yet.

27630 days

82090 days

2.7K1 year

Compare downloads with other packages →

Also on63 r2u6 autocran

How downloads are counted

Repository

SMAC-Group/swag ↗Organization: SMAC-Group

Moved from smac-group/swag-r-package.

2Stars

2Forks

1Open issues

0Open PRs

1Releases

120Commits

6Commit identities

machine-learning

120 commits · Last activity 2023-08-22 · Default branch at 0.1.1, ahead of CRAN 0.1.0 (checked 2026-10-22)

Responsiveness

not measured

Commit identities over time

2026-07-19 · 72026-09-27 · 6

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/smac-group/swag-r-package on 2026-10-22.

Continuous integration (1)

Travis CI (config file)

Docs source (1)

README.Rmd

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Installing swag adds 65 packages (35 with compiled code, 50 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.0.0

Imports (3)

caret Rdpackstats

LinkingTo (0)

none

Suggests (25)

doParallel e1071 foreach ggplot2 glmnetgrDevicesiterators kernlab knitrlatticemethodsmlbench ModelMetricsnlmeparallelplyr pROC randomForest recipes remotes reshape2stats4rmarkdownutilswithr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (5)

Samuel Orso

Author, Maintainer since 0.1.0 (2020)

Author

Author

Contributor

Contributor

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
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
0.1.0Latest
record
2020-11-10 · current release
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-11-10
Total releases: 1 / 6 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.0.0
Download size: 44 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("swag")

Format

Orso, S., Bakalli, G., Guerrier, S., Miglioli, C., & Molinari, R. (2020). swag: Sparse Wrapper Algorithm (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.swag

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for swag version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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