GenerateMMLSM {rMultiNet}

Title

Description

Title

Usage

GenerateMMLSM(
  n,
  m,
  L,
  rank,
  U_mean = 0.5,
  cmax = 1,
  d,
  int_type = "Uniform",
  kernel_fun = "logit",
  scale_par = 1
)

Arguments

n

the number of vertices

m

the number of types of the network

L

the number of layers

rank

the rank of latent position matrix U

U_mean

the mean of the normal distribution of each entry of U

cmax

the entrywise upper bound of core tensor C

d

the average degree of the network

int_type

represents the ways of generating tensor C (‘Uniform’ or ‘Norm’)

kernel_fun

the link function of generating the adjacency tensor (‘logit’ or ‘probit’ )

scale_par

the scaling factor of the parameter tensor

Value

a list including an adjacency tensor and the generating parameters

Examples

GenerateMMLSM(200,3,10,2,d=NULL)