plot.posterior: Plot of a posterior object
In bayesball/LearnBayes: Learning Bayesian Inference

Description Usage Arguments Author(s) Examples

plot.posterior constructs a plot of the posterior density of one or two variables. For 2-parameter problems, a contour plot is produced.

1 2	## S3 method for class 'posterior' plot(x, ...)

`x`	posterior object
`...`	optional arguments; use exact=TRUE to plot the exact posterior density and the scale argument indicates the range of the axes of the plot

Jim Albert

data <- c(2,4,3,6,1,0,4,3,10,2)
par <- c(0,1)
datapar <- list(data=data,par=par)
fit <- laplace(logpoissnormal, 1, datapar)
plot(fit, exact=TRUE, scale=4)