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-4.7-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 249 downloads 3 exports 62 dependencies

Last updated from:8ea0bdc4ac. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK181
source / vignettesOK169
linux-release-x86_64OK151
wasm-releaseOK161

Exports:CEEMDANelmEEMDELMEMDelm

Dependencies:askpassclicodetoolscolorspacecpp11curlDerivfarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmimeneuralnetnlmenloptrnnetnnforopensslplotrixpracmaR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRlibeemdS7scalesshapesmoothstatmodsurvivalsystexregtimeDatetsutilsurcaurootvctrsviridisLitewithrxtablezoo