Bayesian Modeling of Spatio-Temporal Data with R R package bmstdr version 0.8.2 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) <doi:10.1201/9780429318443> describes the methods in detail. Software Depends: R (>= 3.4.0), Rcpp (>= 0.12.0) Imports: methods, spTimer, ggplot2, rstan, rstantools, spBayes, CARBayes, CARBayesST, spTDyn, MCMCpack, Rdpack, mnormt, inlabru, ggpubr LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0), RcppParallel Suggests: INLA (>= 22.5.7), coda, extraDistr, maps, xtable, MASS, loo, cowplot, ggrepel, sf, knitr, rmarkdown, testthat, ggspatial, interp, tidyr, RColorBrewer, magick, markdown Sujit K. Sahu <S.K.Sahu@soton.ac.uk> Comprehensive R Archive Network (CRAN) Sujit K. Sahu [aut, cre] (ORCID: <https://orcid.org/0000-0003-2315-3598>), Duncan P. Lee [aut], K. Shuvo Bakar [aut] GPL-2 2025-03-31 application/tgz https://CRAN.R-project.org/package=bmstdr doi:10.32614/CRAN.package.bmstdr