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'))

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

1.00 score 190 downloads 3 exports 72 dependencies

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

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-linuxOKNov 02 2024

Exports:CEEMDANelmEEMDELMEMDelm

Dependencies:askpassclicodetoolscolorspacecurlDerivfansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetnnforopensslpillarpkgconfigplotrixpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRlibeemdscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLitewithrxtablextszoo