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epicasting
View on CRAN: Click
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Download and install epicasting package within the R console
Install from CRAN:
install.packages("epicasting")
Install from Github:
library("remotes")
install_github("cran/epicasting")
Install by package version:
library("remotes")
install_version("epicasting", "0.1.0")
Attach the package and use:
library("epicasting")
Maintained by
Tanujit Chakraborty
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-22
Latest Update: 2023-03-22
Description:
Method and tool for generating time series forecasts using
an ensemble wavelet-based auto-regressive neural network architecture. This method provides
additional support of exogenous variables and also generates confidence interval. This
package provides EWNet model for time series forecasting based on the algorithm by
Panja, et al. (2022) and Panja, et al. (2023) .
How to cite:
Tanujit Chakraborty (2023). epicasting: Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting. R package version 0.1.0, https://cran.r-project.org/web/packages/epicasting
Previous versions and publish date:
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Other R packages that epicasting depends,
imports, suggests or enhances
Functions, R codes and Examples using
the epicasting R package
Some associated functions: ewnet .
Some associated R codes: ewnet.R . Full epicasting package functions and examples
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