ppsbm: Mstep_hist – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Mstep_hist

M step for histograms

M step for histograms estimator

Mstep_hist(data, VE, directed, sparse)

`data`	Data same of mainVEM
`VE`	Results of the previous VE for iterative computation
`directed`	Boolean for directed (TRUE) or undirected (FALSE) case
`sparse`	Boolean for sparse (TRUE) or not sparse (FALSE) case

BARAUD, Y. & BIRGÉ, L. (2009). Estimating the intensity of a random measure by histogram type estimators. Probab. Theory Related Fields 143, 239–284.

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

REYNAUD -BOURET, P. (2006). Penalized projection estimators of the Aalen multiplicative intensity. Bernoulli 12, 633–661.

Clustering in Longitudinal Networks

v0.2.2

GPL (>= 2)

Authors

D. Giorgi, C. Matias, T. Rebafka, F. Villers

Initial release