Posterior simulator objects allow evaluating the behaviour of the posterior dsitribution, and drawing model parameters from the posterior distibution.
Posterior objects are set up within the model/estimate
function and returned as the second output argument - the set up and initialisation of the posterior object is fully automated in this case. Alternatively, you can set up a posterior object manually, by setting all its properties appropriately.
Poster methods:
poster
- Create new empty posterior simulation (poster) object.arwm
- Adaptive random-walk Metropolis posterior simulator.eval
- Evaluate posterior density at specified points.regen
- Regeneration time MCMC Metropolis posterior simulator.stats
- Evaluate selected statistics of ARWM chain.help poster
help poster/function_name