R Observatory: Metrics for slasso version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

slasso

1.0.1

S-LASSO Estimator for the Function-on-Function Linear Regression

0packages depend

3.2Kdownloads / year

55.9%test coverage

13/13checks pass

Overview

About

Maintained by Fabio CentofantiFirst published 2021-10-152 releasesCRAN page ↗GitHub ↗

Implements the smooth LASSO estimator for the function-on-function linear regression model described in Centofanti et al. (2022) doi:10.1016/j.csda.2022.107556.

Install

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

install.packages("slasso", 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("fabiocentofanti/slasso")

Development version from fabiocentofanti/slasso. 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-slasso

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-slasso

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-slasso

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

Health

CRAN checks

13OK

Slowest check: 5.9 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.03

55.9%

Coverage · measured lines

100%

Documentation · exports

11

Dependencies · direct

Check history

OK2026-08-04
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
NOTE2026-06-07
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 3 earlier snapshots

OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 345 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 80%
Documented parameters: 100%
Return-value docs: 100%
References docs: 80%

Downloads

3.2K

CRAN downloads in the past year

Rank #13,322 · ~9/day · ~270/mo

Releases R versions

Daily download trend is not available in this view yet.

17030 days

75890 days

3.2K1 year

Compare downloads with other packages →

Also on447 r2u27 autocran

Repository

GitHub ↗ fabiocentofanti/slasso

0Stars

0Forks

0Open issues

0Open PRs

0Releases

License GPL-3.0 · Last activity 2026-01-19

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/fabiocentofanti/slasso on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Depends (1)

inline

Imports (10)

Rcpp fda fda.usc matrixcalcparallelmatrixStatsMASSplot3Dmethodscxxfunplus

LinkingTo (2)

Rcpp RcppArmadillo

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)

Fabio Centofanti

Maintainer, Author

Authors (1)

Fabio Centofanti

Maintainer, Author

Listed in earlier versions (3)

Matteo Fontana

no longer listed · 1.0.0

Antonio Lepore

no longer listed · 1.0.0

Simone Vantini

no longer listed · 1.0.0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
2026-01-19 · current release · diff ↗
unarchivedReturned to CRAN
2026-01-19
archivedRemoved from CRAN
2025-12-25
issues were not addressed in time
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
1.0.0
2021-10-15
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-10-15
Total releases: 2 / 5 yrs
License: GPL (>= 3) OSI
Download size: 892 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Functional Data Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("slasso")

Format

Centofanti, F. (2026). slasso: S-LASSO Estimator for the Function-on-Function Linear Regression (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.slasso

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 slasso version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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