Assumes a multivariate hyperparameter theta with each component following an independent Beta distribution. A matrix indicates which component theta is used for what component of p.
1  Model.p.Betaprior_mult(Ip, shape1 = 1, shape2 = 1)

Ip 
matrix consisting of integers that describe which component of theta is used for a given position in the matrix. Must consist of nonnegative integers (0 encoding forced 0s in the matrix), using all integers in the range. 
shape1 
first parameter of Beta prior on theta. Default 1. 
shape2 
second parameter of Beta prior theta. Default 1. 
the resulting model.
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