demonejackson/CoFES_SNARX: Seasonal NARX via Keras

The CoFES Seasonal NARX (SNARX) package offers a ARMA(P,0)$_s$ inspired seasonal version of the traditional Nonlinear Autoregressive Neural Network with Exegenous variables (NARX) first introduced by Lin et al (1996). This SNARX model allows users to add P seasonally lagged version of the original target time series as an regressor in the traditional NARX model.

Getting started

Package details

AuthorMichael Demone Jackson
MaintainerMichael Demone Jackson <demone@stanfordalumni.org>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("demonejackson/CoFES_SNARX")
demonejackson/CoFES_SNARX documentation built on April 18, 2022, 4:40 p.m.