| logl | R Documentation | 
General method to compute log-likelihood for ghype models.
logl(
  object,
  xi = NULL,
  omega = NULL,
  directed = NULL,
  selfloops = NULL,
  adj = NULL,
  multinomial = NULL,
  ...
)
## S3 method for class 'ghype'
logl(
  object,
  xi = NULL,
  omega = NULL,
  directed = NULL,
  selfloops = NULL,
  adj = NULL,
  multinomial = NULL,
  ...
)
## S3 method for class 'matrix'
logl(
  object,
  xi = NULL,
  omega = NULL,
  directed = NULL,
  selfloops = NULL,
  adj = NULL,
  multinomial = NULL,
  ...
)
object | 
 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, considered 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  | 
loglikelihood value
logl(ghype): Computes log-likelihood for ghype models from model object
logl(matrix): Computes log-likelihood for ghype models from adjacency.
data('adj_karate')
model <- scm(adj_karate, FALSE, FALSE)
logl(object = model)
new_adj <- adj_karate
new_adj[3,4] <- 10
logl(object=model, adj=new_adj)
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