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:
MARSSVRhybrid_0.1.0.tar.gz
MARSSVRhybrid_0.1.0.zip(r-4.7-any)MARSSVRhybrid_0.1.0.zip(r-4.6-any)
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✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:15ce5ec54e. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 107 | ||
| source / vignettes | OK | 366 | ||
| linux-release | OK | 110 | ||
| windows-devel | OK | 60 | ||
| windows-release | OK | 59 | ||
| wasm-release | OK | 112 |
Exports:MARSSVRhybrid
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Machine Learning Hybrid Model | MARSSVRhybrid |