prior-class: Finmix 'prior' class

In simonsays1980/finmix: An R package for Bayesian estimation of finite mixture distributions

Description

The prior class stores the specifications for the prior distribution used for Bayesian estimation of the finite mixture parameters and weights. There exists next to the general constructor also an advanced constructor that specifies a data dependent prior. See priordefine() for this advanced constructor.

Slots

weight

A matrix storing the prior parameters for the weight of a finite mixture model.

par

A list storing the prior parameters for the parameters of a finite mixture model.

type

A character specifying what type of prior should be used in Bayesian estimation. Either "independent" for an independent prior distribution or "condconjugate" for a conditionally conjugate prior distribution.

hier

A logical defining, if the used prior should be hierarchical. Hierarchical prior are often more robust, but need an additional layer in sampling, so computing costs increase.

References

• Frühwirth-Schnatter, S (2006), "Finite Mixture and Markov Switching Models"

See Also

• prior() for the general constructor of this class

• priordefine() for the advanced constructor of this class

simonsays1980/finmix documentation built on Dec. 23, 2021, 2:25 a.m.