Description Usage Arguments Value Author(s) See Also Examples
Simulate an homogeneous Poisson process scenario, with sample paths, expected value process, and quantile processes.
1 2 | hpp.scenario(rate, num.events, num.sims = 100, t0 = 0, t1 = NULL,
num.points = 100, quantiles = c(0.025, 0.975), ...)
|
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 plot |
t0 |
Start time |
t1 |
End time |
num.points |
Number of points to use in estimating mean and quantile processes |
quantiles |
plot these quantile processes |
... |
further arguments to be passed to or from methods |
Instance of PoissonProcessScenario
Kristian Brock - Author, Daniel Slade - Contributor
nhpp.scenario
, PoissonProcessScenario
1 2 3 | scen = hpp.scenario(rate = 5, num.events = 20, num.sims = 100)
scen@x.bar
plot(scen, main='My HPP Scenario')
|
[1] 0.0000000 0.3737993 0.7475985 1.1213978 1.4951971 1.8689963
[7] 2.2427956 2.6165948 2.9903941 3.3641934 3.7379926 4.1117919
[13] 4.4855912 4.8593904 5.2331897 5.6069890 5.9807882 6.3545875
[19] 6.7283867 7.1021860 7.4759853 7.8497845 8.2235838 8.5973831
[25] 8.9711823 9.3449816 9.7187809 10.0925801 10.4663794 10.8401786
[31] 11.2139779 11.5877772 11.9615764 12.3353757 12.7091750 13.0829742
[37] 13.4567735 13.8305728 14.2043720 14.5781713 14.9519705 15.3257698
[43] 15.6995691 16.0733683 16.4471676 16.8209669 17.1947661 17.5685654
[49] 17.9423647 18.3161639 18.6899632 19.0637624 19.4375617 19.8113610
[55] 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000
[61] 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000
[67] 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000
[73] 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000
[79] 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000
[85] 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000
[91] 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000 20.0000000
[97] 20.0000000 20.0000000 20.0000000 20.0000000
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