RevBayes

`mvDirichletSimplex`

mvDirichletSimplex(Simplex x, RealPos alpha, Natural numCats, RealPos offset, RealPos kappa, Bool tune, RealPos weight, Probability tuneTarget)

x :	Simplex (<stochastic> pass by reference)
	The simplex on which this move operates.
alpha :	RealPos (pass by value)
	The concentration parameter on the previous value.
	Default : 1
numCats :	Natural (pass by value)
	The number of categories changed per move.
	Default : 1
offset :	RealPos (pass by value)
	The offset of the current value to center new proposals (x+offset).
	Default : 0
kappa :	RealPos (pass by value)
	The offset of tuning parameter (x * alpha + kappa).
	Default : 0
tune :	Bool (pass by value)
	Should we tune this move during burnin?
	Default : TRUE
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