Macaque

<p>The Macaque data set as extracted from <code>igraph</code> using the script in data-raw</p>

datasets

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

Macaque function

<p>An <code>edges</code> object of activation counts between brain regions in a Macaque</p>

Macaque: The Macaque data set as extracted from `igraph` using the script in data-raw

Description

Usage

Arguments

Format

See Also