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epicasting  

Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting
View on CRAN: Click here


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]
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. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
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Complete documentation for epicasting
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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