RevBayes

`mvGMRFHyperpriorGibbs`

mvGMRFHyperpriorGibbs(RealPos x, Real[] normals, RealPos zeta, Natural order, RealPos weight, Probability tuneTarget)

x :	RealPos (<stochastic> pass by reference)
	The variable on which this move operates.
normals :	Real[] (<deterministic> pass by reference)
	The vector of Normal RVs defining the field
zeta :	RealPos (pass by value)
	The value controlling the shrinkage of the field, a scale by which x is multiplied, effectively making x ~ halfCauchy(0,zeta).
order :	Natural (pass by value)
	The order of this GMRF model, first (1) or second (2). Defaults to first order.
	Default : 1
weight :	RealPos (pass by value)
	The weight how often on average this move will be used per iteration.
	Default : 1
tuneTarget :	Probability (pass by value)
	The acceptance probability targeted by auto-tuning.
	Default : 0.44