R Observatory: Metrics for smurf version 1.1.8

Balamuta, James Joseph

smurf

1.1.8

Sparse Multi-Type Regularized Feature Modeling

0packages depend

4.3Kdownloads / year

86.8%test coverage

13/13checks pass

Overview

About

Maintained by Tom ReynkensFirst published 2018-12-0917 releasesCRAN page ↗GitLab ↗

Implementation of the SMuRF algorithm of Devriendt et al. (2021) doi:10.1016/j.insmatheco.2020.11.010 to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.

Install

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

install.packages("smurf", 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("TReynkens/smurf")

Development version from TReynkens/smurf. 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-smurf

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-smurf

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-smurf

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

Health

CRAN checks

13OK

Slowest check: 5.5 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.48

86.8%

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
OK2026-04-22
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

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 94%
Documented parameters: 100%
Return-value docs: 70%
References docs: 5%

Downloads

4.3K

CRAN downloads in the past year

Rank #10,623 · ~12/day · ~355/mo

Releases R versions

Daily download trend is not available in this view yet.

21930 days

93890 days

4.3K1 year

Compare downloads with other packages →

Also on387 r2u5 autocran3.9K conda_forge

Repository

GitLab ↗ treynkens/smurf

Repository practices

Upstream repositoryBeta

Repository gitlab.com/treynkens/smurf is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

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

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.4

Imports (11)

catdata glmnetgraphicsMASSMatrixmethodsmgcvparallelRColorBrewer Rcppstats

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (5)

bookdown knitr rmarkdown roxygen2 testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Tom Reynkens

Author, Maintainer

Authors (3)

Tom Reynkens

Author, Maintainer

Katrien Antonio

Author

Sander Devriendt

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.1.8Latest
2025-09-19 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.1.7
2025-02-23 · diff ↗
1.1.6
2024-12-02 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.1.5
2023-03-22 · diff ↗
1.1.4
2023-01-30 · diff ↗
1.1.3
2022-05-06 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.1.2
2021-04-18 · diff ↗
1.1.1
2021-03-28 · diff ↗
1.1.0
2021-03-12 · diff ↗
1.0.7
2020-11-24 · diff ↗

Show 10 earlier events

1.0.6
2020-05-17 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.0.5
2020-03-19 · diff ↗
1.0.4
2020-02-12 · diff ↗
1.0.3
2020-02-07 · diff ↗
1.0.2
2019-11-25 · diff ↗
1.0.1
2019-05-11 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.0.0
2018-12-09
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-12-09
Total releases: 17 / 8 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.4
Download size: 372 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("smurf")

CRAN DOI

https://doi.org/10.32614/CRAN.package.smurf

BibTeX, derived from DESCRIPTION

@Manual{smurf,
  title  = {smurf: Sparse Multi-Type Regularized Feature Modeling},
  author = {Reynkens, Tom and Antonio, Katrien and Devriendt, Sander},
  year   = {2025},
  note   = {R package version 1.1.8},
  doi    = {10.32614/CRAN.package.smurf},
  url    = {https://CRAN.R-project.org/package=smurf}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorysmurf,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {smurf} version 1.1.8},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/smurf},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for smurf version 1.1.8 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/smurf

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for smurf version 1.1.8
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/smurf
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/smurf.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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