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nhppp  

Simulating Nonhomogeneous Poisson Point Processes
View on CRAN: Click here


Download and install nhppp package within the R console
Install from CRAN:
install.packages("nhppp")

Install from Github:
library("remotes")
install_github("cran/nhppp")

Install by package version:
library("remotes")
install_version("nhppp", "1.0.2")



Attach the package and use:
library("nhppp")
Maintained by
Thomas Trikalinos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-02
Latest Update: 2025-01-09
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) ).
How to cite:
Thomas Trikalinos (2024). nhppp: Simulating Nonhomogeneous Poisson Point Processes. R package version 1.0.2, https://cran.r-project.org/web/packages/nhppp. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 0.1.3 (2024-02-02 20:50), 0.1.4 (2024-05-29 00:50), 1.0.0 (2024-10-23 06:10), 1.0.2 (2025-01-09 17:20)
Other packages that cited nhppp R package
View nhppp citation profile
Other R packages that nhppp depends, imports, suggests or enhances
Complete documentation for nhppp
Functions, R codes and Examples using the nhppp R package
Some associated functions: Lambda_exp_form . Lambda_inv_exp_form . Lambda_inv_linear_form . Lambda_linear_form . check_ppp_sample_validity . compare_ppp_vectors . draw . draw_cumulative_intensity_inversion . draw_cumulative_intensity_orderstats . draw_intensity . draw_intensity_step . draw_sc_linear . draw_sc_loglinear . draw_sc_step . draw_sc_step_regular . expect_no_error . get_step_majorizer . inverse_with_uniroot . inverse_with_uniroot_sorted . mat_cumsum_columns . mat_cumsum_columns_with_scalar_ceiling . mat_cumsum_columns_with_vector_ceiling . nhppp-package . ppp_n . ppp_next_n . ppp_orderstat . ppp_sequential . read_code . rng_stream_rexp . rng_stream_rpois . rng_stream_runif . rng_stream_rztpois . simpson_num_integr . vdraw_sc_step_regular . ztdraw_cumulative_intensity . ztdraw_intensity . ztdraw_intensity_step . ztdraw_sc_linear . ztdraw_sc_loglinear . ztppp . 
Some associated R codes: draw.R . draw_cumulative_intensity_inversion.R . draw_cumulative_intensity_orderstats.R . draw_intensity.R . draw_intensity_step.R . draw_sc_linear.R . draw_sc_loglinear.R . draw_sc_step.R . draw_sc_step_regular.R . nhppp-package.R . ppp_n.R . ppp_next_n.R . ppp_orderstat.R . ppp_sequential.R . utils-calculus.R . utils-helper.R . utils-invert_bijection.R . utils-linear.R . utils-rngstream.R . utils-vectorized.R . vdraw_sc_step_regular.R . ztdraw_cumulative_intensity.R . ztdraw_intensity.R . ztdraw_intensity_step.R . ztdraw_sc_linear.R . ztdraw_sc_loglinear.R . ztppp.R .  Full nhppp package functions and examples
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