Mstep_kernel {ppsbm} | R Documentation |
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.
[Package ppsbm version 0.2.2 Index]