Package overview |
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The geostan R package. |
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Spatial analysisFunctions for measuring and visualizing spatial autocorrelation and dispersion, including model diagnostics |
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Spatial autocorrelation estimator |
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Expected value of the residual Moran coefficient |
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The Geary Ratio |
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Local Geary |
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Local Moran's I |
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The Moran coefficient |
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Data model diagnostics |
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Moran plot |
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Effective sample size |
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Spatial data diagnostics |
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Row-standardize a matrix; safe for zero row-sums. |
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ModelsModel fitting functions and methods |
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Conditional autoregressive (CAR) models |
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Spatial filtering |
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Generalized linear models |
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Intrinsic autoregressive models |
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Simultaneous autoregressive (SAR) models |
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Predict method for |
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print or plot a fitted geostan model |
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Extract residuals, fitted values, or the spatial trend |
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Extract samples from a fitted model |
Spatial data diagnostics |
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Draw samples from the posterior predictive distribution |
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Prior distributions |
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Convenience functionsTools for working with spatial data and geostan models |
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Auto-Gaussian family for CAR models |
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Edge list |
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Download shapefiles |
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Extract eigenfunctions of a connectivity matrix for spatial filtering |
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Prepare data for a Stan CAR model |
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Prepare data for ICAR models |
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Prepare data for spatial measurement error models |
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Prepare data for a simultaneous autoregressive (SAR) model |
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Standard error of log(x) |
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Create spatial and space-time connectivity matrices |
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Simulate spatially autocorrelated data |
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Prior distributions |
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Widely Applicable Information Criteria (WAIC) |
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Data |
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Georgia all-cause, sex-specific mortality, ages 55-64, years 2014-2018 |
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Florida state prison sentencing counts by county, 1905-1910 |