drawPostAnalysis {NetworkChange}

Plot of latent node cluster

Description

Plot latent node cluster

Usage

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

Value

A plot object

References

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

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)