bmstdr: 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) <doi:10.1201/9780429318443> describes the methods in detail.

Version: 0.3.0
Depends: R (≥ 3.4.0), Rcpp (≥ 0.12.0)
Imports: methods, spTimer, ggplot2, rstan, spBayes, CARBayes, CARBayesST, spTDyn, MCMCpack, Rdpack, mnormt, inlabru, ggpubr
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: INLA (≥ 22.5.7), coda, extraDistr, RcppParallel, maps, rstantools (≥ 2.0.0), xtable, MASS, loo, cowplot, ggrepel, ggspatial, sf, knitr, rmarkdown, testthat, ggsn, interp, tidyr, huxtable, RColorBrewer, magick, markdown, bookdown, BiocStyle
Published: 2022-07-14
Author: Sujit K. Sahu ORCID iD [aut, cre], Duncan P. Lee [aut], K. Shuvo Bakar [aut]
Maintainer: Sujit K. Sahu <S.K.Sahu at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: bmstdr results


Reference manual: bmstdr.pdf
Vignettes: bmstdr: Bayesian Modeling of Spatio-Temporal Data with R


Package source: bmstdr_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bmstdr_0.3.0.tgz, r-oldrel (arm64): bmstdr_0.3.0.tgz, r-release (x86_64): bmstdr_0.3.0.tgz, r-oldrel (x86_64): bmstdr_0.3.0.tgz
Old sources: bmstdr archive


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