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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