Bergm (version 1.4)

bgof: Bayesian goodness-of-fit diagnostics

Description

Calculates summaries for degree, minimum geodesic distances, and edge-wise shared partner distributions to diagnose the Bayesian goodness-of-fit of exponential family random graph models.

Usage

bgof(out, 
     directed = FALSE, 
     lags = 100, 
     n.sim = NULL, 
     aux.iter = 10000, 
     n.deg = NULL, 
     n.dist = NULL, 
     n.esp = NULL, 
     n.ideg = NULL, 
     n.odeg = NULL, 
     save = FALSE)

Arguments

out

an R object of class bergm.

directed

logical; TRUE if the observed graph is directed.

lags

count; interval between each sampled posterior parameter value.

n.sim

count; number of sampled parameter values.

aux.iter

count; number of iterations used for network simulation.

n.deg

count; used to plot only the first n.deg-1 degree distributions.

n.dist

count; used to plot only the first n.dist-1 geodesic distances distributions.

n.esp

count; used to plot only the first n.esp-1 edge-wise shared partner distributions.

n.ideg

count; used to plot only the first n.ideg-1 in-degree distributions.

n.odeg

count; used to plot only the first n.odeg-1 out-degree distributions.

save

logical; if TRUE a file called "bgof.out" is saved in the working directory.

See Also

bergm.