RevBayes

`mvGraphFlipEdge`

mvGraphFlipEdge(MatrixRealSymmetric x, Probability p, Natural[][] edges, Bool tune, RealPos weight, Probability tuneTarget)

x :	MatrixRealSymmetric (<stochastic> pass by reference)
	The variable on which this move operates.
p :	Probability (pass by value)
	The probability of flipping each edge in edges (min flips == 1).
	Default : 0
edges :	Natural[][] (pass by reference)
	A vector of [i,j] edges to target with this proposal. An empty vector is interpretted as the full list of edges.
	Default : [ ]
tune :	Bool (pass by value)
	Should we tune the scaling factor 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