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:
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')) |
Bug tracker:https://github.com/yaziciceyda/cmars/issues
- classdata.std - Classification Data - Breast Cancer Wisconsin
- preddata.std - Prediction Data - Concrete Slump Test
- table.b6 - Data Set for Table B6
Last updated 1 years agofrom:dd39d34a7b. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win | NOTE | Oct 26 2024 |
R-4.5-linux | NOTE | Oct 26 2024 |
R-4.4-win | NOTE | Oct 26 2024 |
R-4.4-mac | NOTE | Oct 26 2024 |
R-4.3-win | NOTE | Oct 26 2024 |
R-4.3-mac | NOTE | Oct 26 2024 |
Exports:cmaRs
Dependencies:AUCbitopscaToolscliearthFormulagluegplotsgtoolsKernSmoothlatticelifecyclemagrittrMatrixMPVplotmoplotrixrandomForestRcpprlangRmosekROCRRyacas0settingsstringistringrvctrsxml2
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Classification Data - Breast Cancer Wisconsin (Diagnostic) | classdata.std |
A cmaRs Function | cmaRs |
A plot function designed for prediction of CMARS | plot.cmaRs |
Prediction Data - Concrete Slump Test | preddata.std |
A prediction function for a new data set for prediction purpose | predict.cmaRs |
A summary function designed for CMARS | summary.cmaRs |
Data Set for Table B6 | table.b6 |