R Observatory: Metrics for SmoothPLS version 0.1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SmoothPLS

0.1.5

Partial Least-Squares Algorithm for Categorical and Scalar Functional Data

0packages depend

704downloads / year

50.9%test coverage

13/13checks pass

Overview

About

Maintained by Francois BassacFirst published 2026-05-051 releasesCRAN page ↗GitHub ↗

Performs the Partial Least-Squares ('PLS') algorithm for functional data through the concept of active area integration. This approach builds upon the basis expansion methods for functional 'PLS' regression described in Aguilera et al. (2010) doi:10.1016/j.chemolab.2010.09.007. The package seamlessly handles both Scalar Functional Data ('SFD') and Categorical Functional Data ('CFD'), providing interpretable regression curves even for discrete state changes. It was developed during a PhD thesis between 'DECATHLON' and French research institute 'INRIA' 2022-2026. The 'SmoothPLS' method does not directly decompose the data into a basis; rather, it assumes the data is known as precisely as desired, and for every 'PLS' component, the weight functions are decomposed into the basis. For both single-state and multi-state 'CFD' as well as 'SFD', the algorithm is implemented for a scalar response. To provide a baseline, a naive 'PLS' method on time-value functions and standard Functional 'PLS' are also implemented.

Install

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

install.packages("SmoothPLS", 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("FrancoisBassac/SmoothPLS")

Development version from FrancoisBassac/SmoothPLS. 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-smoothpls

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-SmoothPLS

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-SmoothPLS

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

Health

CRAN checks

13OK

Slowest check: 12.0 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.09

50.9%

Coverage · measured lines

100%

Documentation · exports

15

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-05
6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 832 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 99%
Return-value docs: 100%
References docs: 0%

Downloads

704

CRAN downloads in the past year

Rank #20,882 · ~2/day · ~59/mo

Releases R versions

Daily download trend is not available in this view yet.

16730 days

53090 days

7041 year

Compare downloads with other packages →

Also on25 r2u

Repository

GitHub ↗ francoisbassac/smoothpls

3Stars

0Forks

0Open issues

0Open PRs

6Releases

72Commits

2Contributors

functional-data-analysispls-regressionr-packagecategorical-functional-datar

72 commits · Last activity 2026-07-15 · +50% stars, 30d

Stars over time

2026-04-09 · 22026-07-28 · 3

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/francoisbassac/smoothpls on 2026-08-09.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (15)

cfda dplyr fda ggplot2MASSmgcvpls pracmastatstidyrutilsrlang magrittr future.apply future

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Francois Bassac

Author, Maintainer

Authors (1)

Francois Bassac

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

0.1.5Latest
2026-05-05 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-05-05
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
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("SmoothPLS")

Format

Bassac, F. (2026). SmoothPLS: Partial Least-Squares Algorithm for Categorical and Scalar Functional Data (Version 0.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.SmoothPLS

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 SmoothPLS version 0.1.5 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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