drawPostAnalysis function

Plot of latent node cluster

Plot latent node cluster

drawPostAnalysis(
  mcmcout,
  Y,
  point.cex = 3,
  text.cex = 3,
  segment.size = 0.1,
  n.cluster = NULL,
  start = 1,
  frequency = 1
)

Arguments

• mcmcout: NetworkChange output
• Y: Input raw data
• point.cex: node point size. Default is 3.
• text.cex: node label size. Default is 3.
• segment.size: segment size. Default is 0.1.
• n.cluster: number of cluster. Default is 3.
• start: start of ts object
• frequency: frequency of ts object

Returns

A plot object

Examples

## Not run:

   set.seed(1973)
   ## generate an array with two constant blocks
   data(MajorAlly)
   Y <- MajorAlly
   fit <- NetworkChange(newY, R=2, m=2, mcmc=G, initial.s = initial.s,
          burnin=G, verbose=0, v0=v0, v1=v1)
   drawPostAnalysis(fit, Y, n.cluster=c(4, 4, 3))
## End(Not run)

References

Jong Hee Park and Yunkyun Sohn. 2020. "Detecting Structural Change in Longitudinal Network Data." Bayesian Analysis. Vol.15, No.1, pp.133-157.