MCMCglmm (version 2.28)

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, ...)

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

See Also

density

Examples

# NOT RUN {
v<-rIW(as.matrix(1),10, n=1000)
hist(v)
abline(v=posterior.mode(mcmc(v)), col="red")
# }

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