| mixtbern {manet} | R Documentation |
Single allocation clustering in networks
Description
This function infers K single allocation cluster for actor-event network data.
Usage
mixtbern(y, K = 4, maxT = 5000, seed = 1, verbose = FALSE)
Arguments
y |
A n x d actor-event adjacency matrix, whereby y_ij is 1 if actor i attended event j – 0 otherwise. |
K |
Number of single clusters. Default is set to 4. |
maxT |
Number of MCMC iterations. Default is set to 5000. |
seed |
Random seed. Default is 1. |
verbose |
Set to TRUE if you want to see the steps of the MCMC iterations. Defaults is FALSE. |
Value
A manet object consisting of a list with five outputs:
p.allocation.chain A maxT x n x K array with the posterior probabilities of allocation to the heir clusters.
p.event.chain A maxT x K x d array with the cluster - posterior probabilities of attendance to events.
p.community.chain A maxT x K matrix with the heir cluster proportions.
adj The original adjacency matrix.
proc.time The computational time.
Examples
data(deepsouth)
ds<-mixtbern(deepsouth,K=2,maxT=100)
plot(ds)
summary(ds)