sampler.dp: Dirichlet process sampler

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

Description

Dirichlet process sampler

Usage

sampler.dp(currsbm, edges, sbmmod, sigma)

Arguments

currsbm	the current state of the sampler
edges	an edges object
sbmmod	an sbmmod model
sigma	random walk parameter for theta

Value

next state of currsbm object

See Also

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

Examples

model <- sbmmod(crp(4), param_norm(0,0,1,1,3,3,1,1), edges_norm())
trueSBM <- model$r(100)
Edges <- redges(trueSBM, model$edge)
dp_out <- sampler(Edges, model, 25, "dp", sigma=0.1)

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