| geostan-package | The geostan R package. | 
| aple | Spatial autocorrelation estimator | 
| as.array.geostan_fit | Extract samples from a fitted model | 
| as.data.frame.geostan_fit | Extract samples from a fitted model | 
| as.matrix.geostan_fit | Extract samples from a fitted model | 
| auto_gaussian | Auto-Gaussian family for CAR models | 
| dic | Model comparison | 
| edges | Edge list | 
| eigen_grid | Eigenvalues of a spatial weights matrix: for spatial regression with raster data | 
| expected_mc | Expected value of the residual Moran coefficient | 
| fitted.geostan_fit | Extract residuals, fitted values, or the spatial trend | 
| gamma2 | Prior distributions | 
| georgia | Georgia all-cause, sex-specific mortality, ages 55-64, years 2014-2018 | 
| geostan | The geostan R package. | 
| get_shp | Download shapefiles | 
| gr | The Geary Ratio | 
| hs | Prior distributions | 
| impacts | Spillover/diffusion effects for spatial lag models | 
| lg | Local Geary | 
| lisa | Local Moran's I | 
| log_lik | Extract log-likelihood | 
| log_lik.geostan_fit | Extract log-likelihood | 
| make_EV | Prepare data for spatial filtering | 
| mc | The Moran coefficient (Moran's I) | 
| me_diag | Measurement error model diagnostics | 
| moran_plot | Moran scatter plot | 
| normal | Prior distributions | 
| n_eff | Effective sample size | 
| n_nbs | Count neighbors in a connectivity matrix | 
| plot.geostan_fit | print or plot a fitted geostan model | 
| posterior_predict | Sample from the posterior predictive distribution | 
| predict.geostan_fit | Predict method for 'geostan_fit' models | 
| prep_car_data | Prepare data for the CAR model | 
| prep_car_data2 | Prepare data for the CAR model: raster analysis | 
| prep_icar_data | Prepare data for ICAR models | 
| prep_me_data | Prepare data for spatial measurement error models | 
| prep_sar_data | Prepare data for a simultaneous autoregressive (SAR) model | 
| prep_sar_data2 | Prepare data for SAR model: raster analysis | 
| print.geostan_fit | print or plot a fitted geostan model | 
| print.impacts_slm | Spillover/diffusion effects for spatial lag models | 
| priors | Prior distributions | 
| residuals.geostan_fit | Extract residuals, fitted values, or the spatial trend | 
| row_standardize | Row-standardize a matrix; safe for zero row-sums. | 
| sentencing | Florida state prison sentencing counts by county, 1905-1910 | 
| se_log | Standard error of log(x) | 
| shape2mat | Create spatial and space-time connectivity matrices | 
| sim_sar | Simulate spatially autocorrelated data | 
| spatial | Extract residuals, fitted values, or the spatial trend | 
| spatial.geostan_fit | Extract residuals, fitted values, or the spatial trend | 
| spill | Spillover/diffusion effects for spatial lag models | 
| sp_diag | Visual displays of spatial data and spatial models | 
| sp_diag.geostan_fit | Visual displays of spatial data and spatial models | 
| sp_diag.numeric | Visual displays of spatial data and spatial models | 
| stan_car | Conditional autoregressive (CAR) models | 
| stan_esf | Spatial filtering | 
| stan_glm | Generalized linear models | 
| stan_icar | Intrinsic autoregressive models | 
| stan_sar | Simultaneous autoregressive (SAR) models | 
| student_t | Prior distributions | 
| uniform | Prior distributions | 
| waic | Model comparison |