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stlARIMA
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
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[Scholar Profile | Author Map]
All associated links for this package
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 07 Jun. 2026.
Previous versions and publish date:
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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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