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Mstep_kernel

M step for kernel


Description

M step for kernel estimator

Usage

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.


ppsbm

Clustering in Longitudinal Networks

v0.2.2
GPL (>= 2)
Authors
D. Giorgi, C. Matias, T. Rebafka, F. Villers
Initial release

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