gsPLMIX_to_mcmc: MCMC class objects from the Gibbs sampling simulations of a...
In PLMIX: Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings

Description Usage Arguments Details Value Author(s) References See Also Examples

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

1	gsPLMIX_to_mcmc(gsPLMIX_out)

gsPLMIX_out

Object of class gsPLMIX returned by the gibbsPLMIX function.

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

An mcmc class object.

Cristina Mollica and Luca Tardella

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.

as.mcmc

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)