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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: 0.7.9
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
Published: 2023-12-18
DOI: 10.32614/CRAN.package.bmstdr
Author: Sujit K. Sahu ORCID iD [aut, cre], Duncan P. Lee [aut], K. Shuvo Bakar [aut]
Maintainer: Sujit K. Sahu <S.K.Sahu at soton.ac.uk>
BugReports: https://github.com/sujit-sahu/bmstdr/issues
License: GPL-2
URL: https://www.sujitsahu.com
NeedsCompilation: yes
SystemRequirements: GNU make
Additional_repositories: https://inla.r-inla-download.org/R/stable
CRAN checks: bmstdr results

Documentation:

Reference manual: bmstdr.pdf
Vignettes: bmstdr: Bayesian Modeling of Space Time Data with R

Downloads:

Package source: bmstdr_0.7.9.tar.gz
Windows binaries: r-devel: bmstdr_0.7.9.zip, r-release: bmstdr_0.7.9.zip, r-oldrel: bmstdr_0.7.9.zip
macOS binaries: r-release (arm64): bmstdr_0.7.9.tgz, r-oldrel (arm64): bmstdr_0.7.9.tgz, r-release (x86_64): bmstdr_0.7.9.tgz, r-oldrel (x86_64): bmstdr_0.7.9.tgz
Old sources: bmstdr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bmstdr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.