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bmstdr  

Bayesian Modeling of Spatio-Temporal Data with R
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bmstdr", "0.7.9")



Attach the package and use:
library("bmstdr")
Maintained by
Sujit K. Sahu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-08
Latest Update: 2023-03-31
Description:
Fits, validates and compares a number of Bayesian models for spatial and space time point referenced and areal unit data. Model fitting is done using several packages: 'rstan', 'INLA', 'spBayes', 'spTimer', 'spTDyn', 'CARBayes' and 'CARBayesST'. Model comparison is performed using the DIC and WAIC, and K-fold cross-validation where the user is free to select their own subset of data rows for validation. Sahu (2022) describes the methods in detail.
How to cite:
Sujit K. Sahu (2022). bmstdr: Bayesian Modeling of Spatio-Temporal Data with R. R package version 0.7.9, https://cran.r-project.org/web/packages/bmstdr
Previous versions and publish date:
0.1.4 (2022-04-08 10:12), 0.2.2 (2022-06-21 15:10), 0.3.0 (2022-07-14 12:30), 0.4.1 (2023-03-31 18:40)
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