R6 Class definition of a Simple SBM fit
R6 Class definition of a Simple SBM fit
R6 Class definition of a Simple SBM fit
This class is designed to give a representation and adjust an SBM fitted with blockmodels.
sbm::SBM -> sbm::SimpleSBM -> SimpleSBM_fit
loglik: double: approximation of the log-likelihood (variational lower bound) reached
ICL: double: value of the integrated classification log-likelihood
penalty: double, value of the penalty term in ICL
entropy: double, value of the entropy due to the clustering distribution
storedModels: data.frame of all models fitted (and stored) during the optimization
new()constructor for a Simple SBM fit
SimpleSBM_fit$new(
adjacencyMatrix,
model,
directed,
dimLabels = c(node = "nodeName"),
covarList = list()
)
adjacencyMatrix: square (weighted) matrix
model: character ('bernoulli', 'poisson', 'gaussian')
directed: logical, directed network or not. In not, adjacencyMatrix must be symmetric.
dimLabels: list of labels of each dimension (in row, in columns)
covarList: and optional list of covariates, each of whom must have the same dimension as adjacencyMatrix
optimize()function to perform optimization
SimpleSBM_fit$optimize(estimOptions = list())
estimOptions: a list of parameters controlling the inference algorithm and model selection. See details.
setModel()method to select a specific model among the ones fitted during the optimization. Fields of the current SBM_fit will be updated accordingly.
SimpleSBM_fit$setModel(index)
index: integer, the index of the model to be selected (row number in storedModels)
reorder()permute group labels by order of decreasing probability
SimpleSBM_fit$reorder()
show()show method
SimpleSBM_fit$show(type = "Fit of a Simple Stochastic Block Model")
type: character used to specify the type of SBM
clone()The objects of this class are cloneable with this method.
SimpleSBM_fit$clone(deep = FALSE)
deep: Whether to make a deep clone.