check_ppp_sample_validity

Standard checks for a vector of ordered times. Check
that the <code>times</code> vector is sorted, has unique values, has all values
in <code>[t_min, t_max]</code>, and has length <code>size</code> (if applicable).

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) <doi:10.1002/nav.3800260304>).

Thomas Trikalinos

nhppp

Simulating Nonhomogeneous Poisson Point Processes

Yuliia Sereda

check_ppp_sample_validity function

<dl><dt>times</dt>
<dd>(vector, double) the times to be checked</dd>
<dt>t_min</dt>
<dd>(double) the start of the time nterval</dd>
<dt>t_max</dt>
<dd>(double) optional: the end of the time interval</dd>
<dt>size</dt>
<dd>(double) optional: the size of the vector</dd>
<dt>atmost1</dt>
<dd>(boolean) optional: at most one sample returned</dd>
<dt>atleast1</dt>
<dd>(boolean) optional: at least one sample returned</dd></dl>

Arguments

Check the validity of a ppp vector. — check_ppp_sample_validity

<dl>

<dt>times</dt>
<dd>(vector, double) the times to be checked</dd>


<dt>t_min</dt>
<dd>(double) the start of the time nterval</dd>


<dt>t_max</dt>
<dd>(double) optional: the end of the time interval</dd>


<dt>size</dt>
<dd>(double) optional: the size of the vector</dd>


<dt>atmost1</dt>
<dd>(boolean) optional: at most one sample returned</dd>


<dt>atleast1</dt>
<dd>(boolean) optional: at least one sample returned</dd>

</dl>

check_ppp_sample_validity: Check the validity of a ppp vector.

Description

Usage

Value

Arguments