bccm | R Documentation |
bccm is used to fit a block-constrained configuration model.
bccm(
adj,
labels,
directed = NULL,
selfloops = NULL,
directedBlocks = FALSE,
homophily = FALSE,
inBlockOnly = FALSE,
xi = NULL,
regular = FALSE,
...
)
## S3 method for class 'bccm'
print(x, suppressCall = FALSE, ...)
adj |
the adjacency matrix of the graph. |
labels |
vector or list. contains the vertex labels to generate the blocks in the bccm. In the case of bipartite graphs should be a list of two vectors, the first one with row labels and the second one with column labels. |
directed |
a boolean argument specifying whether the graph is directed or not. |
selfloops |
boolean argument specifying whether the model should incorporate selfloops. |
directedBlocks |
boolean argument specifying whether the model should incorporate directed blocks. Default to FALSE. |
homophily |
boolean argument specifying whether the model should fit only homophily blocks. Default to FALSE. |
inBlockOnly |
boolean argument specifying whether the model should fit only blocks over the diagonal. Default to FALSE. |
xi |
an optional matrix defining the combinatorial matrix of the model. |
regular |
optional boolean, fit regular gnp model? if not specified chosen through lr.test. |
... |
optional arguments to print or plot methods. |
x |
object of class |
suppressCall |
logical, indicating whether to print the call that generated x |
bccm returns an object of class 'bccm' and 'ghype'. 'bccm' objects expand 'ghype' objects incorporating the parameter estimates.
print(bccm)
: Print method for elements of class 'bccm'
.
bccm
data("vertexlabels","adj_karate")
blockmodel <- bccm(adj = adj_karate, labels = vertexlabels, directed = FALSE, selfloops = FALSE)
data('adj_karate')
data('vertexlabels')
bcc.model <- bccm(adj_karate, labels=vertexlabels, directed=FALSE, selfloops=FALSE)
print(bcc.model)
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