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, . 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.


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install.packages("cmaRs")

0.1.1 by Ceyda Yazici, 24 days ago


Report a bug at https://github.com/yaziciceyda/cmaRs/issues


Browse source code at https://github.com/cran/cmaRs


Authors: Fatma Yerlikaya-Ozkurt [aut] , Ceyda Yazici [aut, cre] , Inci Batmaz [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports earth, graphics, Rmosek, stats, stringr, utils, Matrix, AUC, Ryacas0

Suggests testthat

System requirements: MOSEK (http://www.mosek.com) and MOSEK License for use of Rmosek


See at CRAN