bayesMCClust (version 1.0)

plotScatter: Produces Scatter Plots of MCMC Draws

Description

Produces three scatter plots of MCMC draws of selected transition probabilities over all clusters/groups.

Usage

plotScatter(outList, thin = 1, xi11 = c(1, 1), xi12 = c(2, 2), 
            xi21 = c(2, 2), xi22 = c(3, 3), 
            xi31 = c(1, 1), xi32 = c(3, 3))

Value

No value returned.

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

Examples

# please run the examples in mcClust, dmClust, mcClustExtended 
# and/or dmClustExtended