updateblock.blocks

a <code><a rd-options="" href="/link/blocks?package=SBMSplitMerge&version=1.1.1" data-mini-rdoc="SBMSplitMerge::blocks">blocks</a></code> object

blocks

newblock

change the block assignment in an <code>blocks</code> object to a new block

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>.

Matthew Ludkin

SBMSplitMerge

Inference for a Generalised SBM with a Split Merge Sampler

updateblock.blocks function

a <code><a rd-options='' href='blocks'>blocks</a></code> object

updateblock.blocks: Update the block assignment of a node

Description

Usage

Arguments

Value