Learn R Programming

nhppp (version 0.1.3)

nhppp-package: nhppp: Simulating Nonhomogeneous Poisson Point Processes

Description

Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs). Functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function (Cinlar E, "Theory of stochastic processes" (1975, ISBN:0486497996)); the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme (Lewis PAW, Shedler, GS (1979) tools:::Rd_expr_doi("10.1002/nav.3800260304")).

Arguments

Author

Maintainer: Thomas Trikalinos thomas_trikalinos@brown.edu (ORCID) [copyright holder]

Authors:

See Also