hpp.event.times: Simulate homogeneous Poisson process event times

Description Usage Arguments Value Author(s) See Also Examples

View source: R/poisson.R

Description

Randomly sample the num.events consecutive event times of a random homogeneous poisson process with given rate. Note: the rate parameter is often referred to as lambda.

Usage

1
hpp.event.times(rate, num.events, num.sims = 1, t0 = 0)

Arguments

rate

The rate at which events occur in the Poisson process, aka lambda

num.events

Number of event times to simulate in each process

num.sims

Number of simulated paths to create

t0

start time

Value

A numeric vector of length num.events if num.sims=1, else, a num.events by num.sims matrix

Author(s)

Kristian Brock - Author, Daniel Slade - Contributor

See Also

hpp.mean.event.times, hpp.scenario, nhpp.event.times

Examples

1
2
3
rate <- 10
target <- 50
hpp.event.times(rate, target)

Example output

 [1] 0.2495267 0.2926228 0.5814351 0.8039126 0.8955254 0.9081694 1.0100232
 [8] 1.0383649 1.1441976 1.2492714 1.7792260 1.8260469 2.1944558 2.2655096
[15] 2.2843178 2.3165747 2.3864605 2.3921917 2.4520336 3.0840745 3.0898489
[22] 3.1383334 3.5582973 3.6155255 3.7374883 3.7610148 4.0286892 4.1134989
[29] 4.1298150 4.2945518 4.3583439 4.4809735 4.5095569 4.5101689 4.5950679
[36] 4.8089256 5.3086900 5.3172616 5.3286079 5.5511101 5.6052434 5.7879497
[43] 5.8397207 5.9466668 6.0295339 6.1295454 6.1636374 6.2992103 6.3068006
[50] 6.3354687

poisson documentation built on May 2, 2019, 6:53 a.m.