clustnet: Normal mixture model for clustering of single node level...

In BastilleRousseau/moveNT: An R package for the analysis of movement data using network theory

Normal mixture model for clustering of single node level metric

Description

Apply a normal mixture model to a single node-level metric

Usage

clustnet(stack, id = 2, nclust = 2, grph = T)

Arguments

stack	An object produce by the function adj2stack (not compatible with loop or interpolation)
id	Metric to be used (2=Weight, 3=Degree, 4=Betweenness, 5=Transitivity, 6=Eccentricity)
grph	Whether resulting classification should be plotted

Value

A list of object containing a Mclust object and a raster object

Examples

traj1<-sim_mov(type="OU", npatches=3, grph=T)
stck<-adj2stack(traj2adj(traj1, res=100), grph=T)
cl<-clustnet(stck, id=2, nclust=2, grph=T)
summary(cl[[1]])

BastilleRousseau/moveNT documentation built on Aug. 26, 2023, 5:54 a.m.