MultipartiteSBM_fit function

R6 Class definition of a Multipartite SBM fit

R6 Class definition of a Multipartite SBM fit

R6 Class definition of a Multipartite SBM fit

Details

This class is designed to give a representation and adjust a Multipartite SBM fitted with GREMLIN.

Super classes

sbm::SBM -> sbm::MultipartiteSBM -> MultipartiteSBM_fit

Active bindings

• loglik: double: approximation of the log-likelihood (variational lower bound) reached

• ICL: double: value of the integrated classification log-likelihood

• storedModels: data.frame of all models fitted (and stored) during the optimization

Methods

Public methods

• list("MultipartiteSBM_fit$new()")

• list("MultipartiteSBM_fit$optimize()")

• list("MultipartiteSBM_fit$predict()")

• list("MultipartiteSBM_fit$setModel()")

• list("MultipartiteSBM_fit$show()")

• list("MultipartiteSBM_fit$clone()")

Method new()

constructor for Multipartite SBM

Usage

MultipartiteSBM_fit$new(netList)

Arguments

• netList: list of SBM objects

Method optimize()

estimation of multipartiteSBM via GREMLINS

Usage

MultipartiteSBM_fit$optimize(estimOptions)

Arguments

• estimOptions: options for MultipartiteBM

Method predict()

prediction under the currently estimated model

Usage

MultipartiteSBM_fit$predict()

Returns

a list of matrices matrix of expected values for each dyad

Method setModel()

method to select a specific model among the ones fitted during the optimization. Fields of the current MultipartiteSBM_fit will be updated accordingly.

Usage

MultipartiteSBM_fit$setModel(index)

Arguments

• index: integer, the index of the model to be selected (row number in storedModels)

Method show()

show method

Usage

MultipartiteSBM_fit$show(type = "Fit of a Multipartite Stochastic Block Model")

Arguments

• type: character used to specify the type of SBM

Method clone()

The objects of this class are cloneable with this method.

Usage

MultipartiteSBM_fit$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.