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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 |
DOI: | 10.32614/CRAN.package.ECTTDNN |
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 |
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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.