Bayesian Modeling of Spatio-Temporal Data with R

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.


Reference manual

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install.packages("bmstdr")

0.8.2 by Sujit K. Sahu, 2 years ago


https://www.sujitsahu.com


Report a bug at https://github.com/sujit-sahu/bmstdr/issues


Browse source code at https://github.com/cran/bmstdr


Authors: Sujit K. Sahu [aut, cre] , Duncan P. Lee [aut] , K. Shuvo Bakar [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports methods, spTimer, ggplot2, rstan, rstantools, spBayes, CARBayes, CARBayesST, spTDyn, MCMCpack, Rdpack, mnormt, inlabru, ggpubr

Depends on Rcpp

Suggests INLA, coda, extraDistr, maps, xtable, MASS, loo, cowplot, ggrepel, sf, knitr, rmarkdown, testthat, ggspatial, interp, tidyr, RColorBrewer, magick, markdown

Linking to BH, Rcpp, RcppEigen, rstan, StanHeaders, RcppParallel

System requirements: GNU make


See at CRAN