stephens1997b_exponential_cc: Stephens (1997b) relabeling algorithm for Exponential...

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 Exponential mixture distribution.

Usage

stephens1997b_exponential_cc(values, comp_par, weight_par)

Arguments

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

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

• stephens1997b_poisson_cc() for the equivalent implementation for mixtures of Poisson distributions

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

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