Bayesian Spatial Analysis


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Documentation for package ‘geostan’ version 0.2.1

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geostan-package The geostan R package.
aple Spatial autocorrelation estimator
as.array.geostan_fit geostan_fit methods
as.data.frame.geostan_fit geostan_fit methods
as.matrix.geostan_fit geostan_fit methods
auto_gaussian Auto-Gaussian family for CAR models
edges Edge list
expected_mc Expected value of the residual Moran coefficient.
fitted.geostan_fit geostan_fit methods
gamma Prior distributions
georgia Georgia all-cause, sex-specific mortality, ages 55-64, years 2014-2018
geostan The geostan R package.
get_shp Download shapefiles
hs Prior distributions
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 geostan_fit methods
posterior_predict Draw samples from the posterior predictive distribution
predict.geostan_fit geostan_fit methods
prep_car_data Prepare data for a Stan CAR model
prep_icar_data Prepare data for ICAR models
prep_me_data Prepare data for spatial measurement error models
print.geostan_fit geostan_fit methods
priors Prior distributions
residuals.geostan_fit geostan_fit methods
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 geostan_fit methods
spatial.geostan_fit geostan_fit methods
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
student_t Prior distributions
uniform Prior distributions
waic WAIC