posterior.mode

0th

Percentile

Estimates the marginal parameter modes using kernel density estimation

Estimates the marginal parameter modes using kernel density estimation

Keywords
distribution
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

Aliases
  • posterior.mode
Examples
# NOT RUN {
v<-rIW(as.matrix(1),10, n=1000)
hist(v)
abline(v=posterior.mode(mcmc(v)), col="red")
# }
Documentation reproduced from package MCMCglmm, version 2.29, License: GPL (>= 2)

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