vdraw_cumulative_intensity: Vectorized simulation from a non homogeneous Poisson Point...

In nhppp: Simulating Nonhomogeneous Poisson Point Processes

Vectorized simulation from a non homogeneous Poisson Point Process (NHPPP) from (t_min, t_max) given the cumulative intensity function and its inverse

Description

Sample NHPPP times using the cumulative intensity function and its inverse.

Usage

vdraw_cumulative_intensity(
  Lambda,
  Lambda_inv,
  t_min,
  t_max,
  Lambda_args = NULL,
  Lambda_inv_args = NULL,
  tol = 10^-6,
  atmost1 = FALSE,
  atleast1 = FALSE
)

Arguments

Lambda	(function, double vector) an increasing function which is the integrated rate of the NHPPP. It should take a vectorized argument t for times and an optional arguments list.
Lambda_inv	(function, double vector) the inverse of Lambda(), also in vectorized form It should take a vectorized argument z and an optional arguments list.
t_min	(scalar | vector | column matrix) the lower bound of the interval for each sampled point process The length of this argument is the number of point processes that should be drawn.
t_max	(scalar | vector | column matrix) the upper bound of the interval for each sampled point process The length of this argument is the number of point processes that should be drawn.
Lambda_args	(list) optional arguments to pass to Lambda.
Lambda_inv_args	(list) optional arguments to pass to Lambda_inv().
tol	the tolerange for the calulations.
atmost1	boolean, draw at most 1 event time per sampled point process.
atleast1	boolean, draw at least 1 event time

Value

a matrix of event times with one row per sampled point process.

nhppp documentation built on Oct. 30, 2024, 9:28 a.m.