Man pages for geostan
Bayesian Spatial Analysis

apleSpatial autocorrelation estimator
auto_gaussianAuto-Gaussian family for CAR models
edgesEdge list
eigen_gridEigenvalues of a spatial weights matrix: for spatial...
expected_mcExpected value of the residual Moran coefficient
georgiaGeorgia all-cause, sex-specific mortality, ages 55-64, years...
geostan-packageThe geostan R package.
get_shpDownload shapefiles
grThe Geary Ratio
impactsSpillover/diffusion effects for spatial lag models
lgLocal Geary
lisaLocal Moran's I
log_likExtract log-likelihood
make_EVPrepare data for spatial filtering
mcThe Moran coefficient (Moran's I)
me_diagMeasurement error model diagnostics
moran_plotMoran scatter plot
n_effEffective sample size
n_nbsCount neighbors in a connectivity matrix
posterior_predictSample from the posterior predictive distribution
predict.geostan_fitPredict method for 'geostan_fit' models
prep_car_dataPrepare data for the CAR model
prep_car_data2Prepare data for the CAR model: raster analysis
prep_icar_dataPrepare data for ICAR models
prep_me_dataPrepare data for spatial measurement error models
prep_sar_dataPrepare data for a simultaneous autoregressive (SAR) model
prep_sar_data2Prepare data for SAR model: raster analysis
print_geostan_fitprint or plot a fitted geostan model
priorsPrior distributions
resid_geostan_fitExtract residuals, fitted values, or the spatial trend
row_standardizeRow-standardize a matrix; safe for zero row-sums.
samples_geostan_fitExtract samples from a fitted model
se_logStandard error of log(x)
sentencingFlorida state prison sentencing counts by county, 1905-1910
shape2matCreate spatial and space-time connectivity matrices
sim_sarSimulate spatially autocorrelated data
sp_diagVisual displays of spatial data and spatial models
stan_carConditional autoregressive (CAR) models
stan_esfSpatial filtering
stan_glmGeneralized linear models
stan_icarIntrinsic autoregressive models
stan_sarSimultaneous autoregressive (SAR) models
waicModel comparison
geostan documentation built on April 3, 2025, 10:04 p.m.