MCMCglmm (version 2.35)

posterior.mode: Estimates the marginal parameter modes using kernel density estimation

Description

Estimates the marginal parameter modes using kernel density estimation

Usage

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

Value

modes of the kernel density estimates

Arguments

x

mcmc object

adjust

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

...

other arguments to be passed

Author

Jarrod Hadfield

See Also

density

Examples

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