PriorDistribution initialises the prior distributions under the conservative and uniform assumptions for the hyperparameter 'alpha' over the event tree.
PriorDistribution(stratified.event.tree, alpha)
Arguments
stratified.event.tree: "Stratified.event.tree" a S4 object that represents an event tree.
alpha: numeric It plays a role of a phantom sample to construct the prior probability distribution and reprssents the prior knowledge about the process.
Returns
prior is a list of matrices. Each matrix is a collection of vectors that correspond to a prior for each situation associated with a particular variable.