Package: eemdTDNN 0.1.0

Kapil Choudhary

eemdTDNN: EEMD and Its Variant Based Time Delay Neural Network Model

Forecasting univariate time series with different decomposition based time delay neural network models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>.

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

eemdTDNN_0.1.0.tar.gz
eemdTDNN_0.1.0.zip(r-4.7-any)eemdTDNN_0.1.0.zip(r-4.6-any)
eemdTDNN_0.1.0.tar.gz(r-4.7-any)eemdTDNN_0.1.0.tar.gz(r-4.6-any)
eemdTDNN_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
eemdTDNN/json (API)

# Install 'eemdTDNN' in R:
install.packages('eemdTDNN', repos = c('https://cran.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 290 downloads 3 exports 32 dependencies

Last updated from:399e4c21f2. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK137
source / vignettesOK195
linux-releaseOK132
windows-develOK86
windows-releaseOK80
wasm-releaseOK123

Exports:ceemdanTDNNEEMDTDNNemdTDNN

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangRlibeemdS7scalestimeDateurcavctrsviridisLitewithrzoo