modelSelec_QPlot: Plots for model selection

In ppsbm: Clustering in Longitudinal Networks

Description

Plots for model selection

Usage

modelSelec_QPlot(model.selec_Q)

Arguments

model.selec_Q

Output from modelSelection_Q()

Examples

# load data of a synthetic graph with 50 individuals and 3 clusters
n <- 50

# compute data matrix with precision d_max=3
Dmax <- 2^3
data <- list(Nijk=statistics(generated_Q3$data,n,Dmax,directed=FALSE),
    Time=generated_Q3$data$Time)

# ICL-model selection
sol.selec_Q <- modelSelection_Q(data,n,Qmin=1,Qmax=4,directed=FALSE,
    sparse=FALSE,generated_sol_hist)

# plot ICL
modelSelec_QPlot(sol.selec_Q)

ppsbm documentation built on May 1, 2019, 11:26 p.m.