Package: EEMDelm 0.1.1

Girish Kumar Jha

EEMDelm: Ensemble Empirical Mode Decomposition and Its Variant Based ELM Model

Forecasting univariate time series with different decomposition based Extreme Learning Machine models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>, Parida M, Behera MK, Nayak N (2018). <doi:10.1109/ICSESP.2018.8376723>.

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

EEMDelm_0.1.1.tar.gz
EEMDelm_0.1.1.tar.gz(r-4.5-noble)EEMDelm_0.1.1.tar.gz(r-4.4-noble)
EEMDelm_0.1.1.tgz(r-4.4-emscripten)EEMDelm_0.1.1.tgz(r-4.3-emscripten)
EEMDelm.pdf |EEMDelm.html✨
EEMDelm/json (API)

# Install 'EEMDelm' in R:
install.packages('EEMDelm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

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

1.00 score 291 downloads 3 exports 72 dependencies

Last updated 3 years agofrom:8ea0bdc4ac. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 31 2025
R-4.5-linuxOKJan 31 2025

Exports:CEEMDANelmEEMDELMEMDelm

Dependencies:askpassclicodetoolscolorspacecurlDerivfansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetnnforopensslpillarpkgconfigplotrixpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRlibeemdscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLitewithrxtablextszoo