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cmaRs  

Implementation of the Conic Multivariate Adaptive Regression Splines in R
View on CRAN: Click here


Download and install cmaRs package within the R console
Install from CRAN:
install.packages("cmaRs")

Install from Github:
library("remotes")
install_github("cran/cmaRs")

Install by package version:
library("remotes")
install_version("cmaRs", "0.1.3")



Attach the package and use:
library("cmaRs")
Maintained by
Ceyda Yazici
[Scholar Profile | Author Map]
First Published: 2021-02-22
Latest Update: 2023-07-04
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, . 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.
How to cite:
Ceyda Yazici (2021). cmaRs: Implementation of the Conic Multivariate Adaptive Regression Splines in R. R package version 0.1.3, https://cran.r-project.org/web/packages/cmaRs. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.1.0 (2021-02-22 12:00), 0.1.1 (2021-11-06 13:10), 0.1.2 (2022-09-30 22:00)
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Complete documentation for cmaRs
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