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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 |
| Reference manual: | MARSSVRhybrid.pdf |
| 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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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.