Package: cmaRs 0.1.3

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.

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

cmaRs_0.1.3.tar.gz
cmaRs_0.1.3.zip(r-4.5)cmaRs_0.1.3.zip(r-4.4)cmaRs_0.1.3.zip(r-4.3)
cmaRs_0.1.3.tgz(r-4.4-any)cmaRs_0.1.3.tgz(r-4.3-any)
cmaRs_0.1.3.tar.gz(r-4.5-noble)cmaRs_0.1.3.tar.gz(r-4.4-noble)
cmaRs_0.1.3.tgz(r-4.4-emscripten)cmaRs_0.1.3.tgz(r-4.3-emscripten)
cmaRs.pdf |cmaRs.html
cmaRs/json (API)

# Install 'cmaRs' in R:
install.packages('cmaRs', repos = c('https://yaziciceyda.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/yaziciceyda/cmars/issues

Datasets:

On CRAN:

3.70 score 2 scripts 207 downloads 1 exports 28 dependencies

Last updated 1 years agofrom:dd39d34a7b. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winNOTEOct 26 2024
R-4.5-linuxNOTEOct 26 2024
R-4.4-winNOTEOct 26 2024
R-4.4-macNOTEOct 26 2024
R-4.3-winNOTEOct 26 2024
R-4.3-macNOTEOct 26 2024

Exports:cmaRs

Dependencies:AUCbitopscaToolscliearthFormulagluegplotsgtoolsKernSmoothlatticelifecyclemagrittrMatrixMPVplotmoplotrixrandomForestRcpprlangRmosekROCRRyacas0settingsstringistringrvctrsxml2

Introduction to cmaRs

Rendered fromIntro_to_cmaRs.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2023-07-05
Started: 2023-07-05