Package of data and methods for spatial epidemiology.
Get the released version from CRAN:
install.packages("SpatialEpi")
Or the development version from GitHub:
# If you haven't installed devtools yet, do so:
# install.packages("devtools")
devtools::install_github("rudeboybert/SpatialEpi")
We load the data and convert the coordinate system from latitude/longitude to a grid-based system.
library(SpatialEpi)
data(NYleukemia)
sp.obj <- NYleukemia$spatial.polygon
centroids <- latlong2grid(NYleukemia$geo[, 2:3])
population <- NYleukemia$data$population
cases <- NYleukemia$data$cases
We plot the incidence of leukemia for each census tract.
plotmap(cases/population, sp.obj, log=TRUE, nclr=5)
points(grid2latlong(centroids), pch=4)
We run the Bayesian Cluster Detection method from Wakefield and Kim (2013)
y <- cases
E <- expected(population, cases, 1)
max.prop <- 0.15
shape <- c(2976.3, 2.31)
rate <- c(2977.3, 1.31)
J <- 7
pi0 <- 0.95
n.sim.lambda <- 10^4
n.sim.prior <- 10^5
n.sim.post <- 10^5
# Compute output
output <- bayes_cluster(y, E, population, sp.obj, centroids, max.prop,
shape, rate, J, pi0, n.sim.lambda, n.sim.prior,
n.sim.post)
#> [1] "Algorithm started on: Sat Aug 20 11:35:52 2016"
#> [1] "Importance sampling of lambda complete on: Sat Aug 20 11:36:28 2016"
#> [1] "Prior map MCMC complete on: Sat Aug 20 11:42:45 2016"
#> [1] "Posterior estimation complete on: Sat Aug 20 11:53:11 2016"
plotmap(output$post_map$high_area, sp.obj)