Mstep_kernel function

M step for kernel

M step for kernel estimator

Mstep_kernel(data, VE, directed)

Arguments

• data: Data same of mainVEM
• VE: Results of the previous VE for iterative computation
• directed: Boolean for directed (TRUE) or undirected (FALSE) case

References

GRÉGOIRE , G. (1993). Least squares cross-validation for counting process intensities. Scand. J. Statist. 20, pp. 343–360.

MATIAS, C., REBAFKA, T. & VILLERS, F. (2018). A semiparametric extension of the stochastic block model for longitudinal networks. Biometrika.

RAMLAU-HANSEN, H. (1983). Smoothing counting process intensities by means of kernel functions. Ann. Statist. 11, pp. 453–466.