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.zip(r-4.7-any)EEMDelm_0.1.1.zip(r-4.6-any)
EEMDelm_0.1.1.tar.gz(r-4.7-any)EEMDelm_0.1.1.tar.gz(r-4.6-any)
EEMDelm_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EEMDelm/json (API)

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

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 262 downloads 3 exports 62 dependencies

Last updated from:8ea0bdc4ac. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK154
source / vignettesOK183
linux-releaseOK151
windows-develOK88
windows-releaseOK81
wasm-releaseOK177

Exports:CEEMDANelmEEMDELMEMDelm

Dependencies:askpassclicodetoolscolorspacecpp11curlDerivfarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmimeneuralnetnlmenloptrnnetnnforopensslplotrixpracmaR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRlibeemdS7scalesshapesmoothstatmodsurvivalsystexregtimeDatetsutilsurcaurootvctrsviridisLitewithrxtablezoo