Package: stlELM 0.1.1

Girish Kumar Jha

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>.

Authors:Girish Kumar Jha [aut, cre], Ronit Jaiswal [aut, ctb], Kapil Choudhary [ctb], Rajeev Ranjan Kumar [ctb]

stlELM_0.1.1.tar.gz
stlELM_0.1.1.tar.gz(r-4.5-noble)stlELM_0.1.1.tar.gz(r-4.4-noble)
stlELM_0.1.1.tgz(r-4.4-emscripten)stlELM_0.1.1.tgz(r-4.3-emscripten)
stlELM.pdf |stlELM.html✨
stlELM/json (API)

# Install 'stlELM' in R:
install.packages('stlELM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Data_potato - Monthly Average Potato Price of Delhi Market

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 179 downloads 1 exports 71 dependencies

Last updated 3 years agofrom:3fc8e15e76. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-linuxOKMar 11 2025

Exports:STLELM

Dependencies:askpassclicodetoolscolorspacecurlDerivfansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetnnforopensslpillarpkgconfigplotrixpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLitewithrxtablextszoo