PLMIX (version 2.1.1)

gsPLMIX_to_mcmc: MCMC class objects from the Gibbs sampling simulations of a Bayesian mixture of Plackett-Luce models

Description

Coerce the Gibbs sampling simulations for a Bayesian mixture of Plackett-Luce models into an mcmc class object.

Usage

gsPLMIX_to_mcmc(gsPLMIX_out)

Arguments

gsPLMIX_out

Object of class gsPLMIX returned by the gibbsPLMIX function.

Value

An mcmc class object.

Details

gsPLMIX_to_mcmc attemps to coerce its argument by recalling the as.mcmc function of the coda package.

References

Plummer, M., Best, N., Cowles, K. and Vines, K. (2006). CODA: Convergence Diagnosis and Output Analysis for MCMC, R News, 6, pages 7--11, ISSN: 1609-3631.

See Also

as.mcmc

Examples

# NOT RUN {
data(d_carconf)
GIBBS <- gibbsPLMIX(pi_inv=d_carconf, K=ncol(d_carconf), G=3, n_iter=30, n_burn=10)

## Coerce the posterior samples into an mcmc class object
gsPLMIX_to_mcmc(GIBBS)

# }