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stlARIMA  

STL Decomposition and ARIMA Hybrid Forecasting Model
View on CRAN: Click here


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

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

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



Attach the package and use:
library("stlARIMA")
Maintained by
Ronit Jaiswal
[Scholar Profile | Author Map]
First Published: 2021-08-16
Latest Update: 2021-08-16
Description:
Univariate time series forecasting with STL decomposition based auto regressive integrated moving average (ARIMA) hybridmodel. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.
How to cite:
Ronit Jaiswal (2021). stlARIMA: STL Decomposition and ARIMA Hybrid Forecasting Model. R package version 0.1.0, https://cran.r-project.org/web/packages/stlARIMA. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited stlARIMA R package
View stlARIMA citation profile
Other R packages that stlARIMA depends, imports, suggests or enhances
Complete documentation for stlARIMA
Functions, R codes and Examples using the stlARIMA R package
Some associated functions: Data_potato . STLARIMA . 
Some associated R codes: stlARIMA.R .  Full stlARIMA package functions and examples
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