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: 2026-10-14 10:37:26 UTC; root
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: https://cran.r-universe.dev
Date/Publication: 2024-05-27 02:40:15 UTC
RemoteUrl: https://github.com/cran/TDSTNN
RemoteRef: HEAD
RemoteSha: 2e878bd932029357565e5cd0894693612fdff675