drawPostAnalysis: Plot of latent node cluster

In NetworkChange: Bayesian Package for Network Changepoint Analysis

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)

NetworkChange documentation built on March 18, 2022, 7:52 p.m.