Package: EMDANNhybrid 0.2.0

Pankaj Das

EMDANNhybrid: Empirical Mode Decomposition Based Artificial Neural Network Model

Application of empirical mode decomposition based artificial neural network model for nonlinear and non stationary univariate time series forecasting. For method details see (i) Choudhury (2019) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=55&issue=1&article=013>; (ii) Das (2020) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=56&issue=2&article=002>.

Authors:Pankaj Das [aut, cre], Achal Lama [aut], Girish Kumar Jha [aut]

EMDANNhybrid_0.2.0.tar.gz
EMDANNhybrid_0.2.0.tar.gz(r-4.5-noble)EMDANNhybrid_0.2.0.tar.gz(r-4.4-noble)
EMDANNhybrid_0.2.0.tgz(r-4.4-emscripten)EMDANNhybrid_0.2.0.tgz(r-4.3-emscripten)
EMDANNhybrid.pdf |EMDANNhybrid.html✨
EMDANNhybrid/json (API)

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

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

2.00 score 200 downloads 1 exports 51 dependencies

Last updated 1 years agofrom:c9c4e17412. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 02 2025
R-4.5-linuxOKFeb 02 2025

Exports:EMDANNhybrid

Dependencies:clicolorspacecurldotCall64EMDfansifarverfieldsforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestlocfitmagrittrmapsMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalesspamtibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo

EMDANNhybrid

Rendered fromEMDANNhybrid.Rmdusingknitr::rmarkdownon Feb 02 2025.

Last update: 2023-09-14
Started: 2023-09-14