Mstep_kernel: M step for kernel

Description Usage Arguments References

View source: R/vem_dynppsbm.R

Description

M step for kernel estimator

Usage

1
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 documentation built on March 19, 2018, 5:03 p.m.