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

Description

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

Slots

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.

See Also

mgsa

Results