Calculates prior probababilities for x, and >=x causal variables, when a truncated Poisson prior is used for model space

.ModelSpaceProbs(V, mu)

Arguments

V

total number of variables

mu

model space mean

Value

prior matrix whereby 1st row is prior probabilities for =x causal variables, and 2nd row for >=x variables (x = 1,...V)

Author

Paul Newcombe