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bayesMCClust (version 1.0)

plotTransProbs: Produces Balloon Plots and LaTeX-Style Tables of the Transition Matrices

Description

Produces balloon plots and LaTeX-style tables of the transition matrices and cluster-specific contingency tables (transition frequency matrices).

Usage

plotTransProbs(outList, estTransProb, estGroupSize, class, 
               grLabels = paste("Group", 1:outList$Prior$H), 
               plotPooled = TRUE, 
               plotContTable = TRUE, printContTable = TRUE, 
               plotContPooled = TRUE)

Arguments

Value

A list containing:relNjkA matrix containing the ML estimate of the transition matrix for all individuals (pooled). That is the matrix containing the total sum of all observed transitions where each row is scaled to 1.contTableA matrix containing the row sums of the group-specific contingency tables (absolute transition frequencies).relTransFreqA 3-dim array containing the cluster-specific contingency tables.relNjkMatA matrix containing the sum of all observed transitions where the whole matrix is scaled to 1.

Details

This function visualizes the posterior expectation of the group-specific transition matrices (estTransProb) using balloon plots (function balloonplot from package gplots). The circular areas are proportional to the size of the corresponding entry in the transition matrix. The corresponding group sizes (estGroupSize) are indicated in parentheses. Furthermore, the balloons are appropriately scaled (automatically) to be comparable within and between groups. The (cluster-specific) contingency tables report for each cluster in cell $(j,k)$ the probability of observing the categories $(j,k)$ in consecutive time points/periods for an individual in this cluster. The entries to this table/figure sum to one (see Value: relTransFreq).

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

calcTransProbs, calcAllocations, balloonplot, mcClust, dmClust, mcClustExtended, dmClustExtended

Examples

Run this code
# please run the examples in mcClust, dmClust, mcClustExtended, 
# dmClustExtended

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