make_range_t_matrix

Helper function for the vectorized versions of sampling functions.
Takes the usual ways that <code>range_t</code> is specified
(a 2-vector, a 1 x 2 or an r x 2 matrix) and
returns a r x 2 matrix.

internal

Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358> and 2024, <doi:10.1371/journal.pone.0311311>). 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) <doi:10.1002/nav.3800260304>).

Thomas Trikalinos

nhppp

Simulating Nonhomogeneous Poisson Point Processes

Yuliia Sereda

make_range_t_matrix function

<dl><dt>range_t</dt>
<dd>a 2-vector, a 1 x 2 or an r x 2 matrix</dd>
<dt>n_rows</dt>
<dd>the number of rows in the fully expanded matrix (<code>r</code>)</dd></dl>

Arguments

Helper function for the vectorized versions of sampling functions.
Takes the usual ways that range_t is specified
(a 2-vector, a 1 x 2 or an r x 2 matrix) and
returns a r x 2 matrix. — make_range_t_matrix

<dl>

<dt>range_t</dt>
<dd>a 2-vector, a 1 x 2 or an r x 2 matrix</dd>


<dt>n_rows</dt>
<dd>the number of rows in the fully expanded matrix (<code>r</code>)</dd>

</dl>

Helper function for the vectorized versions of sampling functions.
Takes the usual ways that <code>range_t</code> is specified
(a 2-vector, a 1 x 2 or an r x 2 matrix) and
returns a r x 2 matrix.

make_range_t_matrix: Helper function for the vectorized versions of sampling functions. Takes the usual ways that `range_t` is specified (a 2-vector, a 1 x 2 or an r x 2 matrix) and returns a r x 2 matrix.

Description

Usage

Value

Arguments