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)

Peer review:

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

3 exports 0.00 score 72 dependencies 211 downloads

Last updated 2 years agofrom:8ea0bdc4ac

Exports:CEEMDANelmEEMDELMEMDelm

Dependencies:askpassclicodetoolscolorspacecurlDerivfansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetnnforopensslpillarpkgconfigplotrixpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRlibeemdscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLitewithrxtablextszoo