plotTypicalMembers: Plots Time Series of 'Typical' Group Members

Description

Plots time series of the most 'typical' group members showing the highest classification probabilities.

Usage

plotTypicalMembers(outList, myObsList, classProbs, noTypMemb = 7, 
                   moreTypMemb = c(10, 25, 50, 100, 200, 500, 1000), 
                   grLabels = paste("Group", 1:outList$Prior$H))

Arguments

Value

A list containing:typicalMembThe index numbers of the individuals being the first noTypMemb most typical group members according to their positions (ranks) in the individual posterior classification probability ranking.typicalMemb2The index numbers of the individuals being the moreTypMemb-th most typical group members. according to their positions (ranks) in the individual posterior classification probability ranking.

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

Examples

Run this code

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

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