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.tar.gz(r-4.5-noble)eemdTDNN_0.1.0.tar.gz(r-4.4-noble)
eemdTDNN_0.1.0.tgz(r-4.4-emscripten)eemdTDNN_0.1.0.tgz(r-4.3-emscripten)
eemdTDNN.pdf |eemdTDNN.html✨
eemdTDNN/json (API)

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

Peer review:

Datasets:
  • Data_Maize - Monthly International Maize Price Data

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

1.00 score 197 downloads 3 exports 46 dependencies

Last updated 4 years agofrom:399e4c21f2. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-linuxOKOct 08 2024

Exports:ceemdanTDNNEEMDTDNNemdTDNN

Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangRlibeemdscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo