IndNHPP: Generates trajectories of independent Poisson processes

In IndTestPP: Tests of Independence and Analysis of Dependence Between Point Processes in Time

Description

This function generates independent Poisson processes, which can be homogeneous or nonhomogeneous depending on the value of the intensity vectors.

Usage

IndNHPP(lambdas,dplot=TRUE, fixed.seed=NULL,...)

Arguments

lambdas	Matrix where each column contains the intensity vector to generate a Poisson process.
dplot	Optional. A logical flag. If it is TRUE, the marginal processes are plotted.
fixed.seed	An integer or NULL. If it is an integer, that is the value used to set the seed in random generation processes. It it is NULL, a random seed is used.
...	Further arguments to be passed to the function plot.

Details

The number of generated processes is determined by the number of columns of the argument lambdas. The lenght of the period where the processes are generated is determined by the number of rows of lambdas.

Homogenous processes are generated if the corresponding intensity vector is constant (that is if all the rows of the corresponding column are equal).

For the generation algorithm of each Poisson process, see simNHPc.

Value

posNHs

A list of d vectors, each one containing the time occurrences of the independent NHPPs. The name of the elements of the list are N1, N2,..., Nd.

See Also

IndNHNeyScot, simNHPc

Examples

set.seed(123)
lambdas<-cbind(runif(500)/10, rep(0.05,500))

IndNHPP(lambdas=lambdas, fixed.seed=123)

IndTestPP documentation built on Aug. 29, 2020, 1:06 a.m.