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

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