cmaRs: Implementation of the Conic Multivariate Adaptive Regression Splines in R

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.

Version:	0.1.3
Imports:	earth, graphics, Rmosek, stats, stringr, utils, Matrix, AUC, Ryacas0, ROCR, MPV
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2023-07-04
DOI:	10.32614/CRAN.package.cmaRs
Author:	Fatma Yerlikaya-Ozkurt [aut], Ceyda Yazici [aut, cre], Inci Batmaz [aut]
Maintainer:	Ceyda Yazici <ceydayazici86 at gmail.com>
BugReports:	https://github.com/yaziciceyda/cmaRs/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
SystemRequirements:	MOSEK (http://www.mosek.com) and MOSEK License for use of Rmosek
CRAN checks:	cmaRs results

Documentation:

Reference manual:	cmaRs.pdf
Vignettes:	Introduction to cmaRs

Downloads:

Package source:	cmaRs_0.1.3.tar.gz
Windows binaries:	r-devel: cmaRs_0.1.3.zip, r-release: cmaRs_0.1.3.zip, r-oldrel: cmaRs_0.1.3.zip
macOS binaries:	r-release (arm64): cmaRs_0.1.3.tgz, r-oldrel (arm64): cmaRs_0.1.3.tgz, r-release (x86_64): cmaRs_0.1.3.tgz, r-oldrel (x86_64): cmaRs_0.1.3.tgz
Old sources:	cmaRs archive

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