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 lambda.
Model.lambda.Gammaprior_mult(Ilambda, shape = 1, scale = 1)
matrix consisting of integers that describe which component of \(theta\) is used for a given position in the matrix. Must consist of nonnegative integers using all integers in the range.
shape paramer for prior on \(\theta\). Default 1.
scale paramer for prior on \(\theta\). Default 1.
the resulting model.