gsPLMIX_to_mcmc {PLMIX} | R Documentation |
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 |
Details
gsPLMIX_to_mcmc
attemps to coerce its argument by recalling the as.mcmc
function of the coda
package.
Value
An mcmc
class object.
Author(s)
Cristina Mollica and Luca Tardella
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
Examples
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)
[Package PLMIX version 2.1.1 Index]