Time Delay Spatio Temporal Neural Network R package TDSTNN version 0.1.0 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>. Software Depends: R (>= 4.2.3), nnet Mrinmoy Ray <mrinmoy4848@gmail.com> Comprehensive R Archive Network (CRAN) Mrinmoy Ray [aut, cre], Rajeev Ranjan Kumar [aut, ctb], Kanchan Sinha [aut, ctb], K. N. Singh [aut, ctb] GPL-3 2024-05-26 application/tgz https://CRAN.R-project.org/package=TDSTNN doi:10.32614/CRAN.package.TDSTNN