rgs_mmsbm: Run the regular Gibbs sampler of MMSBM

In clement-lee/mmsbmdag: Fitting MMSBM to DAGs

Description

Run the regular Gibbs sampler of MMSBM

Usage

rgs_mmsbm(Y, o_init, alpha_init, s_alpha_init, a, b, A, B, n_swap = 1L,
  N = 1000L, thin = 1L, burnin = 100L, print_freq = 100L)

Arguments

Y	the adjacency matrix representing the graph
o_init	initial value of the ordering vector
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
A, B	square matrices of the hyperparameters for group-to-group probabilities' prior
n_swap	number of swaps in order per iteration
N, thin, burnin, print_freq	MCMC quantities

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.