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.
This cointegration based Time Delay Neural Network Model hybrid model allows the researcher to make use of the information extracted by the cointegrating vector as an input in the neural network model.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.0), urca, forecast, vars |
| Published: | 2021-01-22 |
| Author: | Pankaj Das [aut, cre], Achal Lama [aut], Girish Kumar Jha [aut] |
| Maintainer: | Pankaj Das <pankaj.das2 at icar.gov.in> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | ECTTDNN results |
| Reference manual: | ECTTDNN.pdf |
| Package source: | ECTTDNN_0.1.0.tar.gz |
| Windows binaries: | r-devel: ECTTDNN_0.1.0.zip, r-release: ECTTDNN_0.1.0.zip, r-oldrel: ECTTDNN_0.1.0.zip |
| macOS binaries: | r-release (arm64): ECTTDNN_0.1.0.tgz, r-oldrel (arm64): ECTTDNN_0.1.0.tgz, r-release (x86_64): ECTTDNN_0.1.0.tgz, r-oldrel (x86_64): ECTTDNN_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ECTTDNN 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.