Estimates the marginal parameter modes using kernel density estimation

Estimates the marginal parameter modes using kernel density estimation

Usage

posterior.mode(x, adjust=0.1, ...)

Arguments

x

mcmc object

adjust

numeric, passed to density to adjust the bandwidth of the kernal density

...

other arguments to be passed

Value

modes of the kernel density estimates

Author

Jarrod Hadfield j.hadfield@ed.ac.uk

See also

density

Examples

v<-rIW(as.matrix(1),10, n=1000)
hist(v)
abline(v=posterior.mode(mcmc(v)), col="red")