R Observatory: Metrics for cmaRs version 0.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cmaRs

0.1.4Package record

Implementation of the Conic Multivariate Adaptive Regression Splines in R

0packages depend

2.9Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Ceyda YaziciCRAN page ↗

An implementation of 'Conic Multivariate Adaptive Regression Splines (CMARS)' in R. See Weber et al. (2011) CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization, DOI:10.1080/17415977.2011.624770. It constructs models by using the terms obtained from the forward step of MARS and then estimates parameters by using 'Tikhonov' regularization and conic quadratic optimization. It is possible to construct models for prediction and binary classification. It provides performance measures for the model developed. The package needs the optimisation software 'MOSEK' https://www.mosek.com/ to construct the models. Please follow the instructions in 'Rmosek' for the installation.

Install

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

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

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

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-cmars

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-cmaRs

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-cmaRs

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

2NOTE11OK

Check messages

NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Namespace in Imports field not imported from:
  ‘MPV’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.3 min · r-release-macos-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE10 OK, 2 NOTE2026-04-25
ERROR11 OK, 2 NOTE, 1 ERROR2026-03-30
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.4

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 7
Examples that run: 14%1 run in a plain check · 6 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 43%

Vignettes (1)

Introduction to cmaRs PDF

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #13,562 · ~8/day · ~241/mo

Releases R versions

Daily download trend is not available in this view yet.

37430 days

85690 days

2.9K1 year

Compare downloads with other packages →

Also on105 r2u10 autocran

How downloads are counted

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing cmaRs adds 22 packages (12 with compiled code, 25 MB of source tarballs). Heaviest: stringi 11 MB, gplots 4.6 MB, Rcpp 1.8 MB.

Depends (1)

R >= 3.5

Imports (11)

earthgraphicsRmosekstatsstringrutilsMatrixAUC Ryacas ROCR MPV

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Ceyda Yazici

Author, Maintainer since 0.1.0 (2021)

Inci Batmaz

Author

Fatma Yerlikaya-Ozkurt

Author

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-01-08
0.1.4Latest
record
2026-01-08 · current release · diff ↗
archivedRemoved from CRAN
2025-12-17
requires archived package 'Ryacas0'
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.1.3
record
2023-07-04 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.1.2
record
2022-09-30 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.1
record
2021-11-06 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.1.0
record
2021-02-22
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-02-22
Total releases: 5 / 5 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5
Bundled data: 132 KB / 3 files
Download size: 441 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cmaRs")

Format

Yazici, C., Batmaz, I., & Yerlikaya-Ozkurt, F. (2026). cmaRs: Implementation of the Conic Multivariate Adaptive Regression Splines in R (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.cmaRs

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 cmaRs version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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