eval_plots

output

<p>burn-in period (a vector of iteration numbers to subset outputs)</p>

burnin

theta_index

<p>get a set of evaluation plots from MCMC samples</p>

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>.

eval_plots: get a set of evaluation plots from MCMC samples

Description

Usage

Arguments

Value