sampler: top level sampler function

In SBMSplitMerge: Inference for a Generalised SBM with a Split Merge Sampler

Description

top level sampler function

Usage

sampler(
  edges,
  sbmmod,
  nSteps = 1000,
  algorithm = "rj",
  sigma = 0.5,
  statusfreq,
  currsbm,
  ...
)

Arguments

edges	an edges object
sbmmod	an sbmmod model
nSteps	number of steps to run sampler
algorithm	choice of algorithm options are: "conjugate", "gibbs", "dp", "rj"
sigma	random walk parameter for theta
statusfreq	print the elapsed number of iterations every statusfreq iterations
currsbm	initial state for sbm object (optional - one is drawn from sbmmod if not supplied)
...	additional parameters to pass to step

Value

postz traces for block assignments z

postt traces for theta

postk traces for number of blocks kappa

postn traces for number of occupied blocks

nsteps number of iterations of chain

algorithm choice

Examples

## see vignette("Weibull-edges")

SBMSplitMerge documentation built on July 1, 2020, 5:23 p.m.