SBMSplitMerge (version 1.1.1)

sampler.rj: reversible jump Markov chain Monte Carlo split-merge sampler

Description

reversible jump Markov chain Monte Carlo split-merge sampler

Usage

sampler.rj(currsbm, edges, sbmmod, sigma, rho = 10)

Arguments

currsbm

the current state of the sampler

edges

an edges object

sbmmod

an sbmmod model

sigma

random walk parameter for theta

rho

propensity to add a block

Value

next state of currsbm object

See Also

For full algorithm details see http://doi.org/10.17635/lancaster/thesis/296

Examples

# NOT RUN {
model <- sbmmod(dma(1,10), param_nbin(1,1,4,4,0.5,0.5,0.5,0.5), edges_nbin())
trueSBM <- model$r(100)
Edges <- redges(trueSBM, model$edge)
rj_out <- sampler(Edges, model, 10, "rj", sigma=0.1)
# }