Package: cmaRs
Title: Implementation of the Conic Multivariate Adaptive Regression
        Splines in R
Version: 0.1.3
Authors@R: 
    c(person("Fatma", "Yerlikaya-Ozkurt", email = "fatma.yerlikaya@atilim.edu.tr", role = "aut"),
	   person("Ceyda", "Yazici", email = "ceydayazici86@gmail.com", role = c("aut", "cre")),
	   person("Inci", "Batmaz", email = "ibatmaz@metu.edu.tr", role = c("aut")))
Author: Fatma Yerlikaya-Ozkurt [aut],
  Ceyda Yazici [aut, cre],
  Inci Batmaz [aut]
Maintainer: Ceyda Yazici <ceydayazici86@gmail.com>
SystemRequirements: MOSEK (http://www.mosek.com) and MOSEK License for
        use of Rmosek
Description: 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. 
License: GPL (>= 2)
BugReports: https://github.com/yaziciceyda/cmaRs/issues
Encoding: UTF-8
LazyData: true
Imports: earth, graphics, Rmosek, stats, stringr, utils, Matrix, AUC,
        Ryacas0, ROCR, MPV
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-07-04 12:09:14 UTC; Ceyda
Repository: CRAN
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
Date/Publication: 2023-07-04 12:33:02 UTC
Built: R 4.2.0; ; 2023-07-05 11:13:11 UTC; unix
