posterior.ante
From MCMCglmm v2.29
by Jarrod Hadfield
Posterior distribution of ante-dependence parameters
Posterior distribution of ante-dependence parameters
- Keywords
- distribution
Usage
posterior.ante(x,k=1)Arguments
- x
mcmc object of (co)variances stacked column-wise
- k
order of the ante-dependence structure
Value
posterior ante-dependence parameters (innovation variances followed by regression ceofficients)
See Also
Examples
# NOT RUN {
v<-rIW(diag(2),10, n=1000)
plot(posterior.ante(mcmc(v),1))
# }
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