Package: epicasting 0.1.0

Tanujit Chakraborty

epicasting: Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting

Method and tool for generating time series forecasts using an ensemble wavelet-based auto-regressive neural network architecture. This method provides additional support of exogenous variables and also generates confidence interval. This package provides EWNet model for time series forecasting based on the algorithm by Panja, et al. (2022) and Panja, et al. (2023) <arxiv:2206.10696> <doi:10.1016/j.chaos.2023.113124>.

Authors:Madhurima Panja [aut], Tanujit Chakraborty [aut, cre, cph]

epicasting_0.1.0.tar.gz
epicasting_0.1.0.tar.gz(r-4.5-noble)epicasting_0.1.0.tar.gz(r-4.4-noble)
epicasting_0.1.0.tgz(r-4.4-emscripten)epicasting_0.1.0.tgz(r-4.3-emscripten)
epicasting.pdf |epicasting.html✨
epicasting/json (API)

Peer review:

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

1 exports 0.00 score 47 dependencies 241 downloads

Last updated 1 years agofrom:65900cc614. Checks:OK: 2. Indexed: yes.

Exports:ewnet

Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixMetricsmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewaveletswithrxtszoo