Package: TDSTNN 0.1.0

Mrinmoy Ray

TDSTNN: Time Delay Spatio Temporal Neural Network

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>.

Authors:Mrinmoy Ray [aut, cre], Rajeev Ranjan Kumar [aut, ctb], Kanchan Sinha [aut, ctb], K. N. Singh [aut, ctb]

TDSTNN_0.1.0.tar.gz
TDSTNN_0.1.0.tar.gz(r-4.5-noble)TDSTNN_0.1.0.tar.gz(r-4.4-noble)
TDSTNN_0.1.0.tgz(r-4.4-emscripten)TDSTNN_0.1.0.tgz(r-4.3-emscripten)
TDSTNN.pdf |TDSTNN.html✨
TDSTNN/json (API)

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

Peer review:

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

1.00 score 105 downloads 1 exports 1 dependencies

Last updated 6 months agofrom:2e878bd932. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-linuxOKNov 23 2024

Exports:STNN

Dependencies:nnet