Package: TDSTNN
Type: Package
Title: Time Delay Spatio Temporal Neural Network
Version: 0.1.0
Authors@R: c(person(" Mrinmoy", "Ray", role = c("aut", "cre"),email = "mrinmoy4848@gmail.com"),
            person("Rajeev Ranjan", "Kumar", role = c("aut", "ctb")),
            person("Kanchan", "Sinha", role = c("aut", "ctb")),
           person("K. N.", "Singh", role = c("aut", "ctb")))                 
Depends: R (>= 4.2.3), nnet
Description: STARMA (Space-Time Autoregressive Moving Average) models are commonly utilized in modeling and forecasting spatiotemporal time series data. However, the intricate nonlinear dynamics observed in many space-time rainfall patterns often exceed the capabilities of conventional STARMA models. This R package enables the fitting of Time Delay Spatio-Temporal Neural Networks, which are adept at handling such complex nonlinear dynamics efficiently. For detailed methodology, please refer to Saha et al. (2020) <doi:10.1007/s00704-020-03374-2>.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2024-05-25 12:00:30 UTC; pc
Author: Mrinmoy Ray [aut, cre],
  Rajeev Ranjan Kumar [aut, ctb],
  Kanchan Sinha [aut, ctb],
  K. N. Singh [aut, ctb]
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-26 17:10:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:00:44 UTC; unix
