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  "Description": "STARMA (Space-Time Autoregressive Moving Average) models\nare commonly utilized in modeling and forecasting\nspatiotemporal time series data. However, the intricate\nnonlinear dynamics observed in many space-time rainfall\npatterns often exceed the capabilities of conventional STARMA\nmodels. This R package enables the fitting of Time Delay\nSpatio-Temporal Neural Networks, which are adept at handling\nsuch complex nonlinear dynamics efficiently. For detailed\nmethodology, please refer to Saha et al. (2020)\n<doi:10.1007/s00704-020-03374-2>.",
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