demo/LeukPCprior.R

In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

## Redo the Leuk-example using more senible PC-priors
data(Leuk)
## get the function to plot the map
source(system.file("demodata/Leuk-map.R", package="INLA"))
g = system.file("demodata/Leuk.graph", package="INLA")

## pc-prior parameters
U = 0.3/0.31
alpha = 0.01
pc.param = list(prec = list(prior = "pc.prec", param = c(U, alpha)))

formula = inla.surv(Leuk$time, Leuk$cens) ~ sex + age +
    f(inla.group(wbc), model="rw2",
      scale.model = TRUE, hyper = pc.param)+
    f(inla.group(tpi), model="rw2",
      scale.model = TRUE, hyper = pc.param)+
    f(district,model="besag",graph = g,
      scale.model = TRUE, hyper = pc.param)

result = inla(formula, family="coxph", data=Leuk,
        control.hazard = list(scale.model = TRUE, hyper = pc.param))
summary(result)
Leuk.map(result$summary.random$district$mean)
plot(result)