Package: geostan 0.8.1

geostan: Bayesian Spatial Analysis

For spatial data analysis; provides exploratory spatial analysis tools, spatial regression, spatial econometric, and disease mapping models, model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health monitoring data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Donegan (2021) <doi:10.31219/osf.io/3ey65>; Donegan (2022) <doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020) <doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith (2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019) <doi:10.1016/j.sste.2019.100301>.

Authors:Connor Donegan [aut, cre], Mitzi Morris [ctb], Amy Tims [ctb]

geostan_0.8.1.tar.gz
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geostan.pdf |geostan.html✨
geostan/json (API)
NEWS

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

Bug tracker:https://github.com/connordonegan/geostan/issues

Pkgdown site:https://connordonegan.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • sentencing - Florida state prison sentencing counts by county, 1905-1910

On CRAN:

bayesianbayesian-inferencebayesian-statisticsepidemiologymodelingpublic-healthrspatialspatialstancpp

8.82 score 80 stars 46 scripts 643 downloads 43 exports 70 dependencies

Last updated 2 months agofrom:dd2a62a5ea. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-win-x86_64WARNINGFeb 14 2025
R-4.5-mac-aarch64WARNINGFeb 14 2025
R-4.5-linux-x86_64WARNINGFeb 14 2025
R-4.4-win-x86_64WARNINGFeb 14 2025
R-4.4-mac-aarch64WARNINGFeb 14 2025
R-4.3-win-x86_64WARNINGFeb 14 2025
R-4.3-mac-aarch64WARNINGFeb 14 2025

Exports:apleauto_gaussiandicedgeseigen_gridexpected_mcgamma2get_shpgrhsimpactslglisalog_likmake_EVmcme_diagmoran_plotn_effn_nbsnormalposterior_predictprep_car_dataprep_car_data2prep_icar_dataprep_me_dataprep_sar_dataprep_sar_data2row_standardizese_logshape2matsim_sarsp_diagspatialspillstan_carstan_esfstan_glmstan_icarstan_sarstudent_tuniformwaic

Dependencies:abindbackportsBHbootcallrcheckmateclassclassIntclicolorspaceDBIdeldirdescdistributionale1071fansifarvergenericsggplot2gluegridExtragtableinlineisobandKernSmoothlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxproxypsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolss2scalessfsignsspspDataspdepStanHeaderstensorAtibbletruncnormunitsutf8vctrsviridisLitewithrwk

Custom spatial models with RStan and geostan

Connor Donegan

Rendered fromcustom-spatial-models.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-11-15
Started: 2023-10-04

Exploratory spatial data analysis

Rendered frommeasuring-sa.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-11-16
Started: 2021-01-06

Raster regression

Connor Donegan

Rendered fromraster-regression.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-12-04
Started: 2023-05-01

Spatial analysis with geostan

Connor Donegan

Rendered fromspatial-analysis.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-11-21
Started: 2024-10-31

Spatial measurement error models

Rendered fromspatial-me-models.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-11-16
Started: 2021-09-14

Spatial weights matrix

Rendered fromspatial-weights-matrix.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-06-02
Started: 2024-05-09