stephens1997b_poisson_cc: Stephens (1997b) relabeling algorithm for Poisson mixtures

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

Description

For internal usage only. This function runs the re-labeling algorithm from Stephens (1997b) for MCMC samples of a Poisson mixture distribution.

Usage

stephens1997b_poisson_cc(values, comp_par, weight_par, max_iter = 200L)

Arguments

values	A matrix of observations of dimension Nx1.
comp_par	An array of component parameter samples from MCMC sampling. Dimension is MxK.
max_iter	A signed integer specifying the number of iterations to be run in optimization. Unused.
weight	An array of weight parameter samples from MCMC sampling. Dimension is MxK.

Value

An integer matrix of dimension MxK that holding the optimal labeling.

References

• Stephens, Matthew (1997a), Bayesian methods for mixtures of normal distributions, DPhil Thesis, University of Oxford, Oxford.

See Also

• mcmcpermute() for the calling function

• stephens1997a_poisson_cc() for the re-labeling algorithm from Stephens (1997a)

• stephens1997b_binomial_cc() for the equivalent implementation for mixtures of Binomial distributions

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