Sparse setup -
taurhoInitial(tau, data, n, Q, directed = TRUE)
Both
Data : only needs the
Total number of nodes
Total number of groups
Boolean for directed (TRUE) or undirected (FALSE) case
# Generate first initial tau for generated_Q3 data
n <- 50
Dmax <- 2^3
Q <- 3
d_part <- 1 # less than 3 (owing to Dmax)
n_perturb <- 2
perc_perturb <- 0.2
n_random <- 1
directed <- FALSE
data <- list(Nijk = statistics(generated_Q3$data, n, Dmax, directed = FALSE))
tau <- tauInitial(data,n,Q,d_part,n_perturb,perc_perturb,n_random,directed)
taurho <- taurhoInitial(tau[[1]],data,n,Q,directed=FALSE)
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