stlELM: Hybrid Forecasting Model Based on STL Decomposition and ELM

Univariate time series forecasting with STL decomposition based Extreme Learning Machine hybrid model. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: forecast, nnfor
Published: 2022-08-09
DOI: 10.32614/CRAN.package.stlELM
Author: Girish Kumar Jha [aut, cre], Ronit Jaiswal [aut, ctb], Kapil Choudhary [ctb], Rajeev Ranjan Kumar [ctb]
Maintainer: Girish Kumar Jha <girish.stat at>
License: GPL-3
NeedsCompilation: no
In views: Agriculture
CRAN checks: stlELM results


Reference manual: stlELM.pdf


Package source: stlELM_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): stlELM_0.1.1.tgz, r-oldrel (arm64): stlELM_0.1.1.tgz, r-release (x86_64): stlELM_0.1.1.tgz, r-oldrel (x86_64): stlELM_0.1.1.tgz
Old sources: stlELM archive


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