CoMiRe (version 0.8)

riskplot: Additional risk function plot

Description

Posterior mean (continuous lines) and pointwise credible bands (shaded areas) for \(Ra(x, a)\).

Usage

riskplot(risk.data, xlab = NULL, x = NULL, ylim=c(0,1), xlim=c(0, max(x)))

Arguments

risk.data

output of add.risk function.

xlab

the title of the x axis.

x

numeric vector for the covariate relative to the dose of exposure used in comire.gibbs.

xlim, ylim

numeric vectors of length 2, giving the x and y coordinates ranges for the plot.

Author

Antonio Canale

Examples

{
data(CPP)
attach(CPP)

n <- NROW(CPP)
J <- H <- 10

premature <- as.numeric(gestage<=37)

mcmc <- list(nrep=5000, nb=2000, thin=5, ndisplay=4)

## too few iterations to be meaningful. see below for safer and more comprehensive results

mcmc <- list(nrep=10, nb=2, thin=1, ndisplay=4) 

prior <- list(mu.theta=mean(gestage), k.theta=10, eta=rep(1, J)/J, 
              alpha=rep(1,H)/H, a=2, b=2, J=J, H=H)
              
fit.dummy <- comire.gibbs(gestage, dde, family="continuous", 
                     mcmc=mcmc, prior=prior, seed=1, max.x=180)
                     
risk.data <- add.risk(y = gestage, x = dde, fit = fit.dummy, mcmc = mcmc, 
    a = 37, x.grid = seq(0, max(dde), length = 100))
riskplot(risk.data$summary.risk, xlab="DDE", x = dde, xlim = c(0,150))

# \donttest{
## safer procedure with more iterations (it may take some time)

mcmc <- list(nrep=5000, nb=2000, thin=5, ndisplay=4)

## Fit the model for continuous y 

prior <- list(mu.theta=mean(gestage), k.theta=10, eta=rep(1, J)/J, 
              alpha=rep(1,H)/H, a=2, b=2, J=J, H=H)
              
fit <- comire.gibbs(gestage, dde, family="continuous", 
                     mcmc=mcmc, prior=prior, seed=5, max.x=180)
 
risk.data <- add.risk(y = gestage, x = dde, fit = fit, mcmc = mcmc, 
a = 37, x.grid = seq(0, max(dde), length = 100))
riskplot(risk.data$summary.risk, xlab="DDE", 
x = dde, xlim = c(0,150))

# }
}