bayesMCClust (version 1.0)

plotLikeliPaths: Plots Paths of Likelihoods And (Prior) Densities

Description

Plots paths of all sorts of likelihood and (prior) densities, like the log-likelihood, log posterior density, log classification likelihood and the entropy all including markings for the position of the maximum value, and further log prior densities for $\eta$, $\beta$, $\xi$ and $e$ (depending on availability/model type).

Usage

plotLikeliPaths(outList, from = 10, by = 1)

Value

No value returned.

Details

All these likelihoods and (prior) densities ware already calculated (for each MCMC draw) by mcClust, dmClust, mcClustExtended, dmClustExtended and MNLAuxMix and saved in outList.

References

Sylvia Fruehwirth-Schnatter, Christoph Pamminger, Andrea Weber and Rudolf Winter-Ebmer, (2011), "Labor market entry and earnings dynamics: Bayesian inference using mixtures-of-experts Markov chain clustering". Journal of Applied Econometrics. DOI: 10.1002/jae.1249 http://onlinelibrary.wiley.com/doi/10.1002/jae.1249/abstract Christoph Pamminger and Sylvia Fruehwirth-Schnatter, (2010), "Model-based Clustering of Categorical Time Series". Bayesian Analysis, Vol. 5, No. 2, pp. 345-368. DOI: 10.1214/10-BA606 http://ba.stat.cmu.edu/journal/2010/vol05/issue02/pamminger.pdf

See Also

mcClust, dmClust, mcClustExtended, dmClustExtended, MNLAuxMix

Examples

# please run the examples in mcClust, dmClust, mcClustExtended, 
# dmClustExtended, MNLAuxMix