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)

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3 exports 0.00 score 72 dependencies 257 downloads

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

Exports:CEEMDANelmEEMDELMEMDelm

Dependencies:askpassclicodetoolscolorspacecurlDerivfansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetnnforopensslpillarpkgconfigplotrixpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRlibeemdscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLitewithrxtablextszoo