vp.plotpost: Posterior distribution of the mixing parameters of the VP...

In massimoventrucci/inlaVP: Variance Partitioning disease mapping models

Description

This function produces a plot of the posterior distributions of the mixing parameters of the VP model: gamma and phi for model (1); gamma, phi, psi1 and psi2 for model (2)

Usage

vp.plotpost(inla.res, vp.model = "striid", nsim = 10000, ...)

Arguments

inla.res	inla output
vp.model	character indicating the type of VP model; either 'str' or 'striid'; the former is model (1) in the VP paper, the latter is model (2)
nsim	number of samples drawn from the posterior, to pass on to inla.posterior.sample()
...

Value

It returns a plot with the posterior distributions

massimoventrucci/inlaVP documentation built on Dec. 21, 2021, 2:51 p.m.