powered by
Title
GenerateMMLSM( n, m, L, rank, U_mean = 0.5, cmax = 1, d, int_type = "Uniform", kernel_fun = "logit", scale_par = 1 )
a list including an adjacency tensor and the generating parameters
the number of vertices
the number of types of the network
the number of layers
the rank of latent position matrix U
the mean of the normal distribution of each entry of U
the entrywise upper bound of core tensor C
the average degree of the network
represents the ways of generating tensor C (‘Uniform’ or ‘Norm’)
the link function of generating the adjacency tensor (‘logit’ or ‘probit’ )
the scaling factor of the parameter tensor
GenerateMMLSM(200,3,10,2,d=NULL)
Run the code above in your browser using DataLab