gs_mmsbm: Wrapper of MCMC algorithm for mixed membership stochastic...

In clement-lee/mmsbmdag: Fitting MMSBM to DAGs

Description

Wrapper of MCMC algorithm for mixed membership stochastic block model (MMSBM)

Usage

gs_mmsbm(g, alpha_init, s_alpha_init, a, b, K, n_swap, N, thin, burnin,
  print_freq, seed, f)

Arguments

g	a graph object, assumed to be a DAG
alpha_init	initial value of alpha
s_alpha_init	initial value of proposal standard deviation for alpha's Metropolis step
a, b	hyperparameters for alpha's prior
K	number of clusters, fixed
n_swap	number of swaps in order per iteration
N, thin, burnin, print_freq	MCMC quantities
seed	random seed to initiate MCMC
f	MCMC algo in C++; currently supports rgs_mmsbm()

Value

a list of data frames and matrices representing the MCMC output

clement-lee/mmsbmdag documentation built on May 31, 2019, 4:59 a.m.