Package: vmdTDNN 0.1.1

vmdTDNN: VMD Based Time Delay Neural Network Model

Forecasting univariate time series with Variational Mode Decomposition (VMD) based time delay neural network models.For method details see Konstantin, D.and Dominique, Z. (2014). <doi:10.1109/TSP.2013.2288675>.

Authors:Kapil Choudhary [aut, cre], Girish Kumar Jha [aut, ths, ctb], Rajender Parsad [aut, ctb], Ronit Jaiswal [aut, ctb]

vmdTDNN_0.1.1.tar.gz
vmdTDNN_0.1.1.zip(r-4.7)vmdTDNN_0.1.1.zip(r-4.6)vmdTDNN_0.1.1.zip(r-4.5)
vmdTDNN_0.1.1.tgz(r-4.6-any)vmdTDNN_0.1.1.tgz(r-4.5-any)
vmdTDNN_0.1.1.tar.gz(r-4.7-any)vmdTDNN_0.1.1.tar.gz(r-4.6-any)
vmdTDNN_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
vmdTDNN/json (API)

# Install 'vmdTDNN' in R:
install.packages('vmdTDNN', repos = c('https://kapiliasri.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Data_Maize - Monthly International Maize Price Data

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 1 scripts 231 downloads 3 exports 63 dependencies

Last updated from:29b48172c3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK232
source / vignettesOK278
linux-release-x86_64OK243
macos-release-arm64OK148
macos-oldrel-arm64OK140
windows-develOK93
windows-releaseOK97
windows-oldrelOK102
wasm-releaseOK186

Exports:VMDARIMAVMDELMVMDTDNN

Dependencies:askpassclicodetoolscolorspacecpp11curldata.tableDerivfarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmimeneuralnetnlmenloptrnnetnnforopensslplotrixpracmaR6RColorBrewerRcppRcppArmadilloRcppEigenrlangS7scalesshapesmoothstatmodsurvivalsystexregtimeDatetsutilsurcaurootvctrsviridisLiteVMDecompwithrxtablezoo