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eemdARIMA  

EEMD Based Auto Regressive Integrated Moving Average Model
View on CRAN: Click here


Download and install eemdARIMA package within the R console
Install from CRAN:
install.packages("eemdARIMA")

Install from Github:
library("remotes")
install_github("cran/eemdARIMA")

Install by package version:
library("remotes")
install_version("eemdARIMA", "0.1.0")



Attach the package and use:
library("eemdARIMA")
Maintained by
Rajeev Ranjan Kumar
[Scholar Profile | Author Map]
First Published: 2022-01-25
Latest Update: 2022-01-25
Description:
Forecasting time series with different decomposition based ARIMA models. For method details see Yu L, Wang S, Lai KK (2008). .
How to cite:
Rajeev Ranjan Kumar (2022). eemdARIMA: EEMD Based Auto Regressive Integrated Moving Average Model. R package version 0.1.0, https://cran.r-project.org/web/packages/eemdARIMA. Accessed 01 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited eemdARIMA R package
View eemdARIMA citation profile
Other R packages that eemdARIMA depends, imports, suggests or enhances
Complete documentation for eemdARIMA
Functions, R codes and Examples using the eemdARIMA R package
Some associated functions: Data_Maize . EEMDARIMA . emdARIMA . 
Some associated R codes: EEMDARIMA.R . emdARIMA.R .  Full eemdARIMA package functions and examples
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