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TDSTNN  

Time Delay Spatio Temporal Neural Network
View on CRAN: Click here


Download and install TDSTNN package within the R console
Install from CRAN:
install.packages("TDSTNN")

Install from Github:
library("remotes")
install_github("cran/TDSTNN")

Install by package version:
library("remotes")
install_version("TDSTNN", "0.1.0")



Attach the package and use:
library("TDSTNN")
Maintained by
Mrinmoy Ray
[Scholar Profile | Author Map]
First Published: 2024-05-26
Latest Update: 2024-05-26
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>.
How to cite:
Mrinmoy Ray (2024). TDSTNN: Time Delay Spatio Temporal Neural Network. R package version 0.1.0, https://cran.r-project.org/web/packages/TDSTNN. Accessed 25 Feb. 2025.
Previous versions and publish date:
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Complete documentation for TDSTNN
Functions, R codes and Examples using the TDSTNN R package
Full TDSTNN package functions and examples
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