simulateNHPP: Simulates event times from an inhomogenous Poisson process on...
In bayesianETAS: Bayesian Estimation of the ETAS Model for Earthquake Occurrences
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Simulates event times from an inhomogenous Poisson process on [0,T]
Usage
1
simulateNHPP(targetfn, maxintensity, T = Inf)
Arguments
targetfn
A first order function defining the process intensity
maxintensity
The maximum values of targetfn
T
Length of the interval [0,T] on which to simulate the process
Value
The simulated event times
Author(s)
Gordon J Ross
Examples
1
2
simulateNHPP(function(x) {sin(x)+1}, 2, 100)
simulateNHPP(function(x) {x^2}, 100, 10)
bayesianETAS documentation built on May 1, 2019, 6:32 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Simulates event times from an inhomogenous Poisson process on [0,T]
Usage
1 | simulateNHPP(targetfn, maxintensity, T = Inf)
|
Arguments
targetfn |
A first order function defining the process intensity |
maxintensity |
The maximum values of targetfn |
T |
Length of the interval [0,T] on which to simulate the process |
Value
The simulated event times
Author(s)
Gordon J Ross
Examples
1 2 | simulateNHPP(function(x) {sin(x)+1}, 2, 100)
simulateNHPP(function(x) {x^2}, 100, 10)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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