Skip to content

cmaRs

0.1.4

Implementation of the Conic Multivariate Adaptive Regression Splines in R

0packages depend
2.6Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Ceyda YaziciFirst published 2021-02-225 releasesCRAN 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

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 2.3 min · r-release-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
11
Dependencies · direct
Check history
  • NOTE2026-04-25
    10 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-30
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
14%
Documented parameters
100%
Return-value docs
100%
References docs
43%

Downloads

2.6K
CRAN downloads in the past year
Rank #14,452 · ~7/day · ~218/mo
Daily download trend is not available in this view yet.
18730 days
71590 days
2.6K1 year
Compare downloads with other packages →
Also on132 r2u30 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
Imports (11)
earthgraphicsRmosekstatsstringrutilsMatrixAUCRyacasROCRMPV
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.4Latest
    2026-01-08 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-01-08
  • 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
    2023-07-04 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.2
    2022-09-30 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.1
    2021-11-06 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0
    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
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cmaRs")
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 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cmaRs version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy