R6 class for Simple SBM
R6 class for Simple SBM
a single character giving the label of the nodes
vector of block proportions (aka prior probabilities of each block)
parameters associated to the connectivity of the SBM, e.g. matrix of inter/inter block probabilities when model is Bernoulli
matrix of estimated probabilities for block memberships for all nodes
number of blocks
number of dyads (potential edges in the network)
number of parameter used for the connectivity
vector of clustering
matrix for clustering memberships
constructor for SBM
SimpleSBM$new( model, nbNodes, directed, blockProp, connectParam, dimLabels = c(node = "nodeName"), covarParam = numeric(length(covarList)), covarList = list() )
character describing the type of model
number of nodes in the network
logical, directed network or not.
parameters for block proportions (vector of list of vectors)
list of parameters for connectivity with a matrix of means 'mean' and an optional scalar for the variance 'var'. The size of mu must match
optional label for the node (default is "nodeName")
optional vector of covariates effect
optional list of covariates data
a method to sample new block memberships for the current SBM
SimpleSBM$rMemberships(store = FALSE)
should the sampled blocks be stored (and overwrite the existing data)? Default to FALSE
the sampled blocks
a method to sample a network data (edges) for the current SBM
SimpleSBM$rEdges(store = FALSE)
should the sampled edges be stored (and overwrite the existing data)? Default to FALSE
the sampled network
prediction under the currently parameters
SimpleSBM$predict(covarList = self$covarList, theta_p0 = 0)
a list of covariates. By default, we use the covariates with which the model was estimated
a matrix of expected values for each dyad
SimpleSBM$show(type = "Simple Stochastic Block Model")
character used to specify the type of SBM
basic matrix plot method for SimpleSBM object or mesoscopic plot
SimpleSBM$plot( type = c("data", "expected", "meso"), ordered = TRUE, plotOptions = list() )
character for the type of plot: either 'data' (true connection), 'expected' (fitted connection) or 'meso' (mesoscopic view). Default to 'data'.
logical: should the rows and columns be reordered according to the clustering? Default to
list with the parameters for the plot. See help of the corresponding S3 method for details.
a ggplot2 object for the
'expected', a list with the igraph object
layout and the
plotOptions for the
The objects of this class are cloneable with this method.
SimpleSBM$clone(deep = FALSE)
Whether to make a deep clone.
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