Package index • nhppp

Functions by type

PPP

Constant-intensity Poisson Point Processes

ppp(): Simulate a homogeneous Poisson Point Process in (t_min, t_max]

ppp_exactly_n(): Simulate exactly n points from a homogeneous Poisson Point Process over (t_min, t_max]

ppp_next_n(): Simulate n events from a homogeneous Poisson Point Process.

ztppp(): Simulate a zero-truncated homogeneous Poisson Point Process over (t_min, t_max]

NHPPP wrapper functions

Non-homogeneous Poisson Point Processes wrapper functions

draw(): Generic function for simulating from NHPPPs given the intensity function or the cumulative intensity function.

vdraw(): Vectorized generic function for simulating from NHPPPs given the intensity function or the cumulative intensity function

NHPPP from intensity function

Non-homogeneous Poisson Point Processes from intensity functions

draw_intensity(): Generic function for simulating from NHPPPs given the intensity function.

vdraw_intensity(): Vectorized sampling from a non homogeneous Poisson Point Process (NHPPP) from an interval (thinning method) with piecewise constant_majorizers (C++)

NHPPP from cumulative intensity function

Non-homogeneous Poisson Point Processes from cumulative intensity functions

draw_cumulative_intensity(): Simulate from a non homogeneous Poisson Point Process (NHPPP) over an interval when you know the cumulative intensity and its inverse.

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

ztdraw_cumulative_intensity(): Simulate from a zero-truncated non homogeneous Poisson Point Process (zt-NHPPP) from (t_min, t_max) (order statistics method)

NHPPP special cases

Non-homogeneous Poisson Point Processes from intensity functions

draw_sc_linear(): Special case: Simulate from a non homogeneous Poisson Point Process (NHPPP) from (t_min, t_max) with linear intensity function (inversion method)

draw_sc_loglinear(): Special case: Simulate from a non homogeneous Poisson Point Process (NHPPP) from (t_min, t_max) with log-linear intensity function (inversion method)

draw_sc_step(): Simulate a piecewise constant-rate Poisson Point Process over (t_min, t_max] (inversion method) The intervals need not have the same length.

draw_sc_step_regular(): Sampling from NHPPPs with piecewise constant intensities with same interval lengths (non-vectorized)

vdraw_sc_step_regular(): Vectorized sampling from NHPPPs with piecewise constant intensities with same interval lengths

vdraw_sc_step_regular_cpp(): Vectorized sampling from NHPPPs with piecewise constant intensities with same interval lengths (C++)

ztdraw_sc_linear(): Simulate size samples from a zero-truncated non homogeneous Poisson Point Process (zt-NHPPP) from (t_min, t_max) with linear intensity function

ztdraw_sc_loglinear(): Simulate from a zero-truncated non homogeneous Poisson Point Process (zt-NHPPP) from (t_min, t_max) with a log-linear intensity function

vztdraw_sc_step_regular_cpp(): Vectorized sampling from zero-truncated NHPPPs with piecewise constant intensities with same interval lengths

Auxiliary functions

Auxiliary functions

get_step_majorizer(): Piecewise constant (step) majorizer for K-Lipschitz functions over an interval (vectorized over the breaks argument).