generated_sol_kernel {ppsbm} | R Documentation |
Output example of mainVEM
Description
Output of mainVEM obtained on dataset generated_Q3
with kernel
method and Qmin=Qmax=5.
Usage
generated_sol_kernel
Format
Solution for Q=5 clusters, containing 5 components:
tau
Matrix with size
Q\times n
containing the estimated probability in(0,1)
that clusterq
contains nodei
.J
Estimated value of the ELBO
run
Which run of the algorithm gave the best solution. A run relies on a specific initialization of the algorithm. A negative value maybe obtained in the decreasing phase (for Q) of the algorithm.
converged
Boolean. If TRUE, the algorithm stopped at convergence. Otherwise it stopped at the maximal number of iterations.
Details
This solution was (randomly) obtained using the following code
# WARNING - This is very long generated_sol_kernel <- mainVEM(generated_Q3$data,n=50,Qmin=5,directed=FALSE,method='kernel')[[1]]
References
MATIAS, C., REBAFKA, T. & VILLERS, F. (2018). A semiparametric extension of the stochastic block model for longitudinal networks. Biometrika. 105(3): 665-680.