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 |
edges |
Edge list |
eigen_grid |
Eigenvalues of a spatial weights matrix: raster analysis |
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 |
lg |
Local Geary |
lisa |
Local Moran's I |
make_EV |
Extract eigenfunctions of a connectivity matrix for spatial filtering |
mc |
The Moran coefficient |
me_diag |
Data model diagnostics |
moran_plot |
Moran plot |
normal |
Prior distributions |
n_eff |
Effective sample size |
plot.geostan_fit |
print or plot a fitted geostan model |
posterior_predict |
Draw samples 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 |
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 |
sp_diag |
Spatial data diagnostics |
sp_diag.geostan_fit |
Spatial data diagnostics |
sp_diag.numeric |
Spatial data diagnostics |
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 |
Widely Applicable Information Criteria (WAIC) |