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'))

Peer review:

Datasets:
  • Data_potato - Monthly Average Potato Price of Delhi Market

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

1 exports 0.00 score 71 dependencies 184 downloads

Last updated 2 years agofrom:3fc8e15e76. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-linuxOKSep 12 2024

Exports:STLELM

Dependencies:askpassclicodetoolscolorspacecurlDerivfansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetnnforopensslpillarpkgconfigplotrixpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLitewithrxtablextszoo