Other packages > Find by keyword >

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]
All associated links for this package
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 07 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited TDSTNN R package
View TDSTNN citation profile
Other R packages that TDSTNN depends, imports, suggests or enhances
Complete documentation for TDSTNN
Functions, R codes and Examples using the TDSTNN R package
Full TDSTNN package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
Download / Learn more Package Citations See dependency  
con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA