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stlELM  

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


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

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

Install by package version:
library("remotes")
install_version("stlELM", "0.1.1")



Attach the package and use:
library("stlELM")
Maintained by
Girish Kumar Jha
[Scholar Profile | Author Map]
First Published: 2021-02-22
Latest Update: 2022-08-09
Description:
Univariate time series forecasting with STL decomposition based Extreme Learning Machine hybridmodel. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.
How to cite:
Girish Kumar Jha (2021). stlELM: Hybrid Forecasting Model Based on STL Decomposition and ELM. R package version 0.1.1, https://cran.r-project.org/web/packages/stlELM. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2021-02-22 12:10)
Other packages that cited stlELM R package
View stlELM citation profile
Other R packages that stlELM depends, imports, suggests or enhances
Complete documentation for stlELM
Functions, R codes and Examples using the stlELM R package
Some associated functions: Data_potato . STLELM . 
Some associated R codes: STLELM.R .  Full stlELM package functions and examples
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