MCMCglmm: posterior.mode – R documentation

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posterior.mode

Estimates the marginal parameter modes using kernel density estimation

Estimates the marginal parameter modes using kernel density estimation

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

`x`	mcmc object
`adjust`	numeric, passed to `density` to adjust the bandwidth of the kernal density
`...`	other arguments to be passed

modes of the kernel density estimates

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

MCMC Generalised Linear Mixed Models

v2.32

GPL (>= 2)

Authors

Jarrod Hadfield

Initial release

2021-03-12