either an adjacency matrix or ghype model If a ghype model is
passed, then `xi`, `omega`, `directed`, `selfloops` are ignored If an
adjacency matrix is passed, then `adj` is ignored
xi
matrix, combinatorial matrix to build ghype model, considered only
if object is an adjacency matrix
omega
matrix, propensity matrix to build ghype model, considered only
if object is an adjacency matrix
directed
boolean, is ghype model directed? considered only if object
is an adjacency matrix
selfloops
boolean, has ghype model selfloops? considered only if
object is an adjacency matrix
adj
optional matrix, adjacency matrix of which to compute
log-likelihood, cconsidered only if object is ghype model If adj is not
passed, and object is a ghype model, the log-likelihood is computed for the
original adjacency matrix stored in object.
multinomial
optional boolean. Force multinomial approximation? If not
chosen, multinomial chosen for large graphs.
...
additional parameters passed to and from internal methods
Value
loglikelihood value
Methods (by class)
ghype: Computes log-likelihood for ghype models from model object
matrix: Computes log-likelihood for ghype models from adjacency.