generateDynppsbmConst {ppsbm} | R Documentation |
Data under dynppsbm with piecewise constant intensities
Description
Generate data under the Dynamic Poisson Process Stochastic Blockmodel (dynppsbm) with piecewise constant intensity functions.
Usage
generateDynppsbmConst(intens, Time, n, prop.groups, directed = TRUE)
Arguments
intens |
Matrix with piecewise constant intensities |
Time |
Positive real number. [0,Time] is the total time interval of observation. |
n |
Total number of nodes, |
prop.groups |
Vector of group proportions, should be of length |
directed |
Boolean for directed (TRUE) or undirected (FALSE) case. If directed then |
References
MATIAS, C., REBAFKA, T. & VILLERS, F. (2018). A semiparametric extension of the stochastic block model for longitudinal networks. Biometrika. 105(3): 665-680.
Examples
# Define 2 different piecewise constant intensity functions
# on a 3 parts regular partition of time interval [0,Time]
intens1 <- c(1,3,8)
intens2 <- c(2,3,6)
intens <- matrix(c(intens1,intens2,intens1,intens2),4,3)
Time <- 10
n <- 20
prop.groups <- c(0.2,0.8)
obs <- generateDynppsbmConst(intens,Time,n,prop.groups,directed=TRUE)