Instances of this class are used to hold the additional information that was provided by running (possibly multiple times) an MCMC algorithm.

`nsamples`

how many samples collected per MCMC run

`steps`

how many steps per MCMC run

`restarts`

how many MCMC runs

`alphaMcmcPost`

posterior estimates for each MCMC run of the parameter alpha

`betaMcmcPost`

posterior estimates for each MCMC run of the parameter beta

`pMcmcPost`

posterior estimates for each MCMC run of the parameter p

`setsMcmcPost`

posterior estimates for each MCMC run of the sets marginal posterior probabilities

The columns of the matrices

`alphaMcmcPost`

,`betaMcmcPost`

,`pMcmcPost`

and setsMcmcPost stores the posterior estimates for each individual MCMC run. The row order matches the one of the slot`alphaPost`

,`betaPost`

,`pPots`

, and`setsResults`

respectively.Accessor methods exist for each slot.

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