expect_no_error

helper function that augments
<code>test_that::expect_no_error()</code> to expect no error.
Copied from the <code>R6</code> source code.

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

expect_no_error function

<dl><dt>expr</dt>
<dd>Expression.</dd></dl>

Arguments

Helper functions — expect_no_error

<dl>

<dt>expr</dt>
<dd>Expression.</dd>

</dl>

expect_no_error: Helper functions

Description

Usage

Arguments

Details