stlARIMA: STL Decomposition and ARIMA Hybrid Forecasting Model

Univariate time series forecasting with STL decomposition based auto regressive integrated moving average (ARIMA) hybrid model. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	forecast
Published:	2021-08-16
Author:	Ronit Jaiswal [aut, cre], Girish Kumar Jha [aut, ctb], Rajeev Ranjan Kumar [ctb], Kapil Choudhary [ctb]
Maintainer:	Ronit Jaiswal <ronitjaiswal2912 at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	stlARIMA results

Documentation:

Reference manual:

stlARIMA.pdf

Downloads:

Package source:	stlARIMA_0.1.0.tar.gz
Windows binaries:	r-devel: stlARIMA_0.1.0.zip, r-release: stlARIMA_0.1.0.zip, r-oldrel: stlARIMA_0.1.0.zip
macOS binaries:	r-release (arm64): stlARIMA_0.1.0.tgz, r-oldrel (arm64): stlARIMA_0.1.0.tgz, r-release (x86_64): stlARIMA_0.1.0.tgz, r-oldrel (x86_64): stlARIMA_0.1.0.tgz

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