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"JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS." (http://mcmc-jags.sourceforge.net/)

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How to specify the Wishart distribution scale matrix

690.553652091766, 980.291164452268, -1733.09607995999, 661.404359682356, 9442.32984843676), .Dim = c(9L, 9L, 4L)) #N N<-nrow(Y) #K K<-4 #J J<-9 myjagsfile<-"JAGSmodel.txt" # the above jags … Y=Y, mu.s=mu.s, Sigma.s.inv=Sigma.s.inv, R.Sigma=Sigma.inv, k.Sigma=J, tV=tV) mypars <-c("Sigma.inv","p","kappa","phi", "s") myiterations<-25000 myburnin<-12500 mythin<-175 set.seed(5000) run.mcmc <- jags
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