Instances of this class are used to hold the additional information that was provided by running (possibly multiple times) an MCMC algorithm.
how many samples collected per MCMC run
how many steps per MCMC run
how many MCMC runs
posterior estimates for each MCMC run of the parameter alpha
posterior estimates for each MCMC run of the parameter beta
posterior estimates for each MCMC run of the parameter p
posterior estimates for each MCMC run of the sets marginal posterior probabilities
The columns of the matrices
pMcmcPost and setsMcmcPost stores the posterior estimates for each individual MCMC run.
The row order matches the one of the slot
Accessor methods exist for each slot.
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