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.zip(r-4.7-any)stlELM_0.1.1.zip(r-4.6-any)
stlELM_0.1.1.tar.gz(r-4.7-any)stlELM_0.1.1.tar.gz(r-4.6-any)
stlELM_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 272 downloads 1 exports 61 dependencies

Last updated from:3fc8e15e76. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK128
source / vignettesOK179
linux-releaseOK127
windows-develOK94
windows-releaseOK99
wasm-releaseOK130

Exports:STLELM

Dependencies:askpassclicodetoolscolorspacecpp11curlDerivfarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmimeneuralnetnlmenloptrnnetnnforopensslplotrixpracmaR6RColorBrewerRcppRcppArmadilloRcppEigenrlangS7scalesshapesmoothstatmodsurvivalsystexregtimeDatetsutilsurcaurootvctrsviridisLitewithrxtablezoo