bccm: Fitting bccm models

In ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs

Description

bccm is used to fit a block-constrained configuration model.

Usage

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, ...)

Arguments

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 'bccm'
suppressCall	logical, indicating whether to print the call that generated x

Value

bccm returns an object of class 'bccm' and 'ghype'. 'bccm' objects expand 'ghype' objects incorporating the parameter estimates.

Methods (by generic)

• print: Print method for elements of class 'bccm'.

See Also

bccm

Examples

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)

ghypernet documentation built on Oct. 15, 2021, 5:14 p.m.