Package: MARSSVRhybrid 0.1.0

Pankaj Das

MARSSVRhybrid: MARS SVR Hybrid

Multivariate Adaptive Regression Spline (MARS) based Support Vector Regression (SVR) hybrid model is combined Machine learning hybrid approach which selects important variables using MARS and then fits SVR on the extracted important variables.

Authors:Pankaj Das [aut, cre], Achal Lama [aut], Girish Jha [ths]

MARSSVRhybrid_0.1.0.tar.gz
MARSSVRhybrid_0.1.0.tar.gz(r-4.5-noble)MARSSVRhybrid_0.1.0.tar.gz(r-4.4-noble)
MARSSVRhybrid_0.1.0.tgz(r-4.4-emscripten)MARSSVRhybrid_0.1.0.tgz(r-4.3-emscripten)
MARSSVRhybrid.pdf |MARSSVRhybrid.html
MARSSVRhybrid/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 122 downloads 1 exports 8 dependencies

Last updated 4 years agofrom:15ce5ec54e. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-linuxOKMar 17 2025
R-4.4-linuxOKMar 17 2025

Exports:MARSSVRhybrid

Dependencies:classe1071earthFormulaMASSplotmoplotrixproxy