rScoreSBM: Simulate Score SBM

In Sophiedonnet/NoisySBM: Inference of a network topology from a one or several noisy version(s) of the network

Description

rScoreMBM simulates a collection of networks which are score versions of un underlying network. This network may be directed or not. See vignette for more informations

Usage

rScoreSBM(
  nbNodes,
  directed,
  blockProp,
  connectParam,
  emissionParam,
  seed = NULL
)

Arguments

nbNodes	: number of nodes
directed	: directed or not (directed = TRUE or FALSE)
blockProp	: proportions of the Blocks. Vector of size nbBlocks
connectParam	: probabilities of connections inside and between blocks. Matrix of size nbBlocks.
emissionParam	: parameters of the emission of the Score SBM. List of two terms : noEdgeParam and edgeParam. Each element is a list of means (vector or size nbScores) and variance matrix (square matrix of size nbScores)
seed	: set the seed for the random simulation (default value = NULL)

Value

A list of containing the score networks (scoreNetworks a list of length nbScores of matrices of dimension nbNodes x nbNodes), the true underlying network (trueNetwork) and the clustering of the nodes (memberships)

Examples

nbNodes  <- 100
directed <- TRUE
blockProp <- c(1/3,1/2,1/6)
nbBlocks   <- length(blockProp)
connectParam <- matrix(rbeta(nbBlocks^2,1.5,1.5 ),nbBlocks,nbBlocks)
connectParam <- 0.5*(connectParam + t(connectParam))
emissionParam <- list()
nbScores <- 4
emissionParam$noEdgeParam <- list(mean=rep(0,nbScores));
emissionParam$noEdgeParam$var <- diag(0.1,nrow = nbScores,ncol = nbScores)
emissionParam$edgeParam <- list( mean= 1:nbScores)
emissionParam$edgeParam$var <-  diag(0.1,nrow = nbScores,ncol = nbScores)
dataSim <- rScoreSBM(nbNodes,directed = TRUE, blockProp,connectParam,emissionParam,seed = NULL)

Sophiedonnet/NoisySBM documentation built on Oct. 20, 2020, 12:04 p.m.