The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.

Version: 0.1.0
Depends: R (≥ 3.3.0), e1071, earth, stats
Published: 2021-01-09
DOI: 10.32614/CRAN.package.MARSSVRhybrid
Author: Pankaj Das [aut, cre], Achal Lama [aut], Girish Jha [ths]
Maintainer: Pankaj Das <pankaj.das2 at icar.gov.in>
License: GPL-3
NeedsCompilation: no
CRAN checks: MARSSVRhybrid results

Documentation:

Reference manual: MARSSVRhybrid.pdf

Downloads:

Package source: MARSSVRhybrid_0.1.0.tar.gz
Windows binaries: r-devel: MARSSVRhybrid_0.1.0.zip, r-release: MARSSVRhybrid_0.1.0.zip, r-oldrel: MARSSVRhybrid_0.1.0.zip
macOS binaries: r-release (arm64): MARSSVRhybrid_0.1.0.tgz, r-oldrel (arm64): MARSSVRhybrid_0.1.0.tgz, r-release (x86_64): MARSSVRhybrid_0.1.0.tgz, r-oldrel (x86_64): MARSSVRhybrid_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MARSSVRhybrid to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.