R Observatory: Metrics for dual.spls version 0.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2024-04-20. Its history is shown below.

Reason: issues were not corrected despite reminders

Details below reflect version 0.1.4, its last release before removal.

dual.spls

0.1.4

Dual Sparse Partial Least Squares Regression

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Louna Alsouki2 releasesCRAN page ↗

Provides a series of functions for fitting a dual sparse partial least squares (Dual-SPLS) regression. These functions differ by the choice of the underlying norm.

Install

R (source archive)Ubuntu (r2u)openSUSE (OBS)

url <- "https://cran.r-project.org/src/contrib/Archive/dual.spls/dual.spls_0.1.4.tar.gz"
pkgFile <- "dual.spls_0.1.4.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.1.4) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

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-dual.spls

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

# 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-dual.spls

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

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

Yes

Tests · ratio 0.22

not tracked

Coverage

100%

Documentation · exports

3

Dependencies · direct

Documentation

READMEYes · 46 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 14%

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on91 r2u15 autocran

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (3)

statspdistgraphics

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Louna Alsouki

Author, Maintainer

Authors (2)

Louna Alsouki

Author, Maintainer

François Wahl

Author

Contributors (1)

Ghislain Durif

Contributor

Package Timeline

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

R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2024-04-20
issues were not corrected despite reminders
R
R 4.3.0 released · 2023-04-21
0.1.4
2023-04-18 · diff ↗
unarchivedReturned to CRAN
2023-04-18
archivedRemoved from CRAN
2022-11-01
issues were not corrected in time
0.1.2
2022-10-14
R
R 4.2.0 released · 2022-04-22

Package metadata

Total releases: 2
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 2.4 MB / 2 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dual.spls")

Format

Alsouki, L., Wahl, F., & Durif, G. (n.d.). dual.spls: Dual Sparse Partial Least Squares Regression (Version 0.1.4) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=dual.spls

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for dual.spls version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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