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-4.7-any)MARSSVRhybrid_0.1.0.tar.gz(r-4.6-any)
MARSSVRhybrid_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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 171 downloads 1 exports 8 dependencies

Last updated from:15ce5ec54e. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK105
source / vignettesOK158
linux-release-x86_64OK129
wasm-releaseOK100

Exports:MARSSVRhybrid

Dependencies:classe1071earthFormulaMASSplotmoplotrixproxy