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' <> to construct the models. Please follow the instructions in 'Rmosek' for the installation.

Version: 0.1.0
Imports: earth, graphics, Rmosek, stats, stringr, utils, Matrix, AUC, Ryacas0
Published: 2021-02-22
Author: Fatma Yerlikaya-Ozkurt [aut], Ceyda Yazici [aut, cre], Inci Batmaz [aut]
Maintainer: Ceyda Yazici <ceydayazici86 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: MOSEK ( and MOSEK License for use of Rmosek
Materials: README
CRAN checks: cmaRs results


Reference manual: cmaRs.pdf
Package source: cmaRs_0.1.0.tar.gz
Windows binaries: r-devel:, r-release: not available, r-oldrel: not available
macOS binaries: r-release: cmaRs_0.1.0.tgz, r-oldrel: not available


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