The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Describes a series first. After that does time series analysis using one hybrid model and two specially structured Machine Learning (ML) (Artificial Neural Network or ANN and Support Vector Regression or SVR) models. More information can be obtained from Paul and Garai (2022) <doi:10.1007/s41096-022-00128-3>.
| Version: | 0.1.0 |
| Imports: | AllMetrics, DescribeDF, stats, dplyr, psych, FinTS, tseries, forecast, fGarch, aTSA, neuralnet, e1071 |
| Published: | 2023-04-13 |
| Author: | Mr. Sandip Garai [aut, cre] |
| Maintainer: | Mr. Sandip Garai <sandipnicksandy at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | AriGaMyANNSVR results |
| Reference manual: | AriGaMyANNSVR.pdf |
| Package source: | AriGaMyANNSVR_0.1.0.tar.gz |
| Windows binaries: | r-devel: AriGaMyANNSVR_0.1.0.zip, r-release: AriGaMyANNSVR_0.1.0.zip, r-oldrel: AriGaMyANNSVR_0.1.0.zip |
| macOS binaries: | r-release (arm64): AriGaMyANNSVR_0.1.0.tgz, r-oldrel (arm64): AriGaMyANNSVR_0.1.0.tgz, r-release (x86_64): AriGaMyANNSVR_0.1.0.tgz, r-oldrel (x86_64): AriGaMyANNSVR_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=AriGaMyANNSVR 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.
Health stats visible at Monitor.