Package: RSTr 1.1.4

David DeLara

RSTr: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models

Takes Poisson or Binomial discrete spatial data and runs a Gibbs sampler for a variety of Spatiotemporal Conditional Autoregressive (CAR) models. Includes measures to prevent estimate over-smoothing through a restriction of model informativeness for select models. Also provides tools to load output and get median estimates. Implements methods from Besag, York, and Mollié (1991) "Bayesian image restoration, with two applications in spatial statistics" <doi:10.1007/BF00116466>, Gelfand and Vounatsou (2003) "Proper multivariate conditional autoregressive models for spatial data analysis" <doi:10.1093/biostatistics/4.1.11>, Quick et al. (2017) "Multivariate spatiotemporal modeling of age-specific stroke mortality" <doi:10.1214/17-AOAS1068>, and Quick et al. (2021) "Evaluating the informativeness of the Besag-York-Mollié CAR model" <doi:10.1016/j.sste.2021.100420>.

Authors:David DeLara [aut, cre], Centers for Disease Control and Prevention [aut, cph]

RSTr_1.1.4.tar.gz
RSTr_1.1.4.zip(r-4.7)RSTr_1.1.4.zip(r-4.6)RSTr_1.1.4.zip(r-4.5)
RSTr_1.1.4.tgz(r-4.6-x86_64)RSTr_1.1.4.tgz(r-4.6-arm64)RSTr_1.1.4.tgz(r-4.5-x86_64)RSTr_1.1.4.tgz(r-4.5-arm64)
RSTr_1.1.4.tar.gz(r-4.7-arm64)RSTr_1.1.4.tar.gz(r-4.7-x86_64)RSTr_1.1.4.tar.gz(r-4.6-arm64)RSTr_1.1.4.tar.gz(r-4.6-x86_64)
RSTr_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RSTr/json (API)

# Install 'RSTr' in R:
install.packages('RSTr', repos = c('https://cehi-code-repos.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cehi-code-repos/rstr/issues

Pkgdown/docs site:https://cehi-code-repos.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • maexample - Massachusetts Heart Attack Mortality Data
  • mamap - Massachusetts Shapefile
  • miadj - Michigan Adjacency Data
  • miheart - Michigan Heart Attack Mortality Data
  • minsample - Samples Generated for Michigan data
  • minsplit - Age- and Sex-stratified Samples for Michigan data
  • mishp - Michigan Shapefile

On CRAN:

Conda:

openblascppopenmp

4.76 score 1 stars 24 scripts 167 downloads 19 exports 22 dependencies

Last updated from:8567fef919. Checks:11 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING265
linux-devel-x86_64WARNING164
source / vignettesERROR355
linux-release-arm64WARNING214
linux-release-x86_64WARNING251
macos-release-arm64WARNING228
macos-release-x86_64WARNING331
macos-oldrel-arm64WARNING250
macos-oldrel-x86_64WARNING343
windows-develWARNING202
windows-releaseWARNING214
windows-oldrelWARNING228
wasm-releaseOK172

Exports:add_neighborsage_standardizeaggregate_countaggregate_samplescarget_credible_intervalget_estimatesget_mediansget_relative_precisionload_modelload_sampleslong_to_list_matrixmcarmstcarrcarsplit_sample_groupsstandardize_samplessuppress_estimatesupdate_model

Dependencies:abindbootclassclassIntDBIdeldire1071KernSmoothlatticeMASSmatrixStatsproxyRcppRcppArmadilloRcppDists2sfspspDataspdepunitswk