Description Usage Arguments Details Examples
Compute smooth intensities with direct kernel estimation of intensities relying on a classification tau. This can be used with the values τ obtained on a dataset with mainVEM function run with 'hist' method.
1 2  kernelIntensities(data, tau, Q, n, directed, rho = 1, sparse = FALSE,
nb.points = 1000)

data 
List with 3 components:

tau 
τ 
Q 
Total number of groups 
n 
Total number of nodes 
directed 
Boolean for directed (TRUE) or undirected (FALSE) case 
rho 
ρ 
sparse 
Boolean for sparse (TRUE) or not sparse (FALSE) case 
nb.points 
Number of points 
Warning : sparse case not implemented !!!
1 2 3 4 5 6 7 8 9 10 11  # The generated_sol_kernel was generated calling mainVEM with kernel method on the generated_Q3 data
# (50 individuals and 3 clusters)
data < generated_Q3$data
n < 50
Q < 3
# compute smooth intensity estimators
sol.kernel.intensities < kernelIntensities(data,generated_sol_kernel$tau,Q,n,directed=FALSE)

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