MultipartiteSBM {sbm}

R6 Class definition of a Multipartite SBM

Description

R6 Class definition of a Multipartite SBM

R6 Class definition of a Multipartite SBM

Super class

sbm::SBM -> MultipartiteSBM

Active bindings

dimLabels

vector of characters giving the label of each connected dimension

blockProp

list of two vectors of block proportions (aka prior probabilities of each block)

connectParam

parameters associated to the connectivity of the SBM, e.g. matrix of inter/inter block probabilities when model is Bernoulli

probMemberships

matrix of estimated probabilities for block memberships for all nodes

nbBlocks

: vector with the number of blocks in each FG

nbConnectParam

number of parameter used for the connectivity

architecture

organization of the multipartite network

nbNetworks

number of networks in the multipartite network

memberships

list of size 2: vector of memberships in all parts of the network

indMemberships

matrix for clustering memberships

Methods

Public methods

• MultipartiteSBM$new()

• MultipartiteSBM$show()

• MultipartiteSBM$print()

• MultipartiteSBM$plot()

• MultipartiteSBM$clone()

Inherited methods

• sbm::SBM$rNetwork()

Method new()

constructor for Multipartite SBM

Usage

MultipartiteSBM$new(
  model = character(0),
  architecture = matrix(NA, 0, 2),
  directed = logical(0),
  nbNodes = numeric(0),
  dimLabels = character(0),
  blockProp = list(),
  connectParam = list()
)

Arguments

model

character describing the type of model

architecture

a 2-column matrix describing interactions between the networks

directed

vector of logical: are the network directed or not?

nbNodes

number of nodes in each dimension/part of the network

dimLabels

labels of each par of the network

blockProp

parameters for block proportions (vector of list of vectors)

connectParam

parameters of connectivity (vector of list of vectors)

Method show()

print method

Usage

MultipartiteSBM$show(type = "Multipartite Stochastic Block Model")

Arguments

type

character to tune the displayed name

Method print()

print method

Usage

MultipartiteSBM$print()

Method plot()

plot Multipartite Network

Usage

MultipartiteSBM$plot(
  type = c("data", "expected", "meso"),
  ordered = TRUE,
  plotOptions = list()
)

Arguments

type

character for the type of plot: either 'data' (true connection), 'expected' (fitted connection) or 'meso' (mesoscopic view). Default to 'data'.

ordered

TRUE is the matrices are plotted after reorganization with the blocks. Default value = TRUE

plotOptions

list of plot options for the mesoscopic view or matrix view

Method clone()

The objects of this class are cloneable with this method.

Usage

MultipartiteSBM$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.