SpatialEpi

Produce plots of emprical Bayes posterior densities when the data Y are Poisson with expected number E and relative risk theta, with the latter having a gamma distribution with known values alpha and beta, which are estimated using empirical Bayes.

Produce the probabilities of exceeding a threshold given a posterior gamma distribution.

Compute Parameters to Calibrate a Gamma Distribution

Compute Parameters to Calibrate a Log-normal Distribution

MCMC simulation to sample configurations

Upstate New York Leukemia Data

Test if two numeric vectors are equal

Draw a sample of size 1 given probabilities

Methods and Data for Spatial Epidemiology

Bayesian Cluster Detection Method

Besag-Newell Cluster Detection Method

Internal Besag Newell method

Compute Binomial Likelihoods

Check if proposed configurations overlap

Compute cartesian coordinates of a cluster center and radius

Clean up proposed moves matrix

Compute log Bayes Factors

Compute log likelihood for all single zones

Create geographical objects to be used in Bayesian Cluster Detection Method

Empirical Bayes Estimates of Relative Risk

Estimate lambda values

Compute Expected Numbers of Disease

Convert Coordinates from Grid to Latitude/Longitude

Kulldorff Cluster Detection Method

Compute permutation distribution for kulldorff method

Convert Coordinates from Latitude/Longitude to Grid

log multinomial Density

log Negative Binomial Density

Plot Levels of a Variable in a Colour-Coded Map

Normalize vector to sum to 1.

Pennsylvania Lung Cancer

Plot Levels of a Variable in a Colour-Coded Map

Compute Poisson Likelihoods

Convert a Polygon to a Spatial Polygons Object

Process MCMC Sample

Return all possible birth moves

Return all death moves

Return all possible local moves: growth, trim, recenter

Lip Cancer in Scotland

Create set of all single zones and output geographical information