createLatentOrderLikelihood: Creates a probability model for a latent ordered network...

In lolog: Latent Order Logistic Graph Models

Creates a probability model for a latent ordered network model

Description

Creates a probability model for a latent ordered network model

Usage

createLatentOrderLikelihood(formula, theta = NULL)

Arguments

formula	A LOLOG formula. See link{lolog}
theta	Parameter values.

Value

An Rcpp object representing the likelihood model

Examples

# See the methods of the objects returned by this function
UndirectedLatentOrderLikelihood
DirectedLatentOrderLikelihood

# A Barabasi-Albert type graph model with 1000 vertices
el <- matrix(0, nrow=0, ncol=2)
net <- new(UndirectedNet, el, 1000L)
lolik <- createLatentOrderLikelihood(net ~ preferentialAttachment(), theta=1)
banet <- lolik$generateNetwork()$network # generate a random network from the model
degrees <- banet$degree(1:1000)
hist(degrees, breaks=100) # plot the degree distribution
order <- banet[["__order__"]] # The vertex inclusion order

# Earlier nodes have higher degrees
library(ggplot2)
qplot(order, degrees, alpha=I(.25)) + geom_smooth(method="loess")

lolog documentation built on May 29, 2024, 4:21 a.m.