Description Usage Arguments Value Examples
Currently available point processes are homogeneous Poisson, Hawkes with exponential kernel, MMHP and MMPP
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | pp_simulate(object, start = 0, end = 1, n = NULL, verbose = FALSE)
## Default S3 method:
pp_simulate(object, start = 0, end = 1, n = NULL, verbose = FALSE)
## S3 method for class 'hpp'
pp_simulate(object, start = 0, end = 1, n = NULL, verbose = FALSE)
## S3 method for class 'hp'
pp_simulate(object, start = 0, end = 1, n = NULL, verbose = FALSE)
## S3 method for class 'mmpp'
pp_simulate(object, start = 0, end = 1, n = NULL, verbose = FALSE)
## S3 method for class 'mmhp'
pp_simulate(object, start = 0, end = 1, n = NULL, verbose = FALSE)
|
object |
point process model object of type hpp, hp, mmhp, or mmpp |
start |
start time of events simulated. Not used for Markov modulated models |
end |
end time of events simulated. Not used for Markov modulated models |
n |
number of events simulated. Required for Markov modulated models, optional otherwise |
verbose |
whether to output informative messages as running |
a vector of event times for all models. For Markov modulated models, also returns details on the underlying latent process
1 2 | hpp_obj <- pp_hpp(lambda = 1)
s <- pp_simulate(hpp_obj, n = 50)
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