edgemod

function(e, p) to calculate likelihood of edge an edge e given parameter array p

logd

function(p) - simulate an edge given a parameter p (optional)

additional arguments to append to <code>edgemod</code> internal list

A class with a random and density method for <code>edges</code> objects

Inference in a Bayesian framework for a generalised stochastic block model. The generalised stochastic block model (SBM) can capture group structure in network data without requiring conjugate priors on the edge-states. Two sampling methods are provided to perform inference on edge parameters and block structure: a split-merge Markov chain Monte Carlo algorithm and a Dirichlet process sampler. Green, Richardson (2001) <doi:10.1111/1467-9469.00242>; Neal (2000) <doi:10.1080/10618600.2000.10474879>; Ludkin (2019) <arXiv:1909.09421>.

edgemod: Class for edge models

Description

Usage

Arguments

Value

See Also