.bsims_all

.get_events

.get_detections

Internal functions are not intended to be used by the user.

 internal

internals

A highly scientific and utterly addictive
bird point count simulator
to test statistical assumptions, aid survey design,
and have fun while doing it (Solymos 2024 <doi:10.1007/s42977-023-00183-2>).
The simulations follow time-removal and distance sampling models
based on Matsuoka et al. (2012) <doi:10.1525/auk.2012.11190>,
Solymos et al. (2013) <doi:10.1111/2041-210X.12106>,
and Solymos et al. (2018) <doi:10.1650/CONDOR-18-32.1>,
and sound attenuation experiments by
Yip et al. (2017) <doi:10.1650/CONDOR-16-93.1>.

Peter Solymos

bSims

Agent-Based Bird Point Count Simulator

internals function

<dl> <dt>x</dt>
<dd>simulation object.</dd> <dt>event_type</dt>
<dd>type of events to access.</dd> <dt>condition</dt>
<dd>conditioning type to define availability for each individual:
<code>"event1"</code>: the 1st event (detected or not);
<code>"det1"</code>: the 1st detection;
<code>"alldet"</code>: all detections (counting the same individual multiple times).</dd> <dt>tlim</dt>
<dd>time intervals treated as [<code>min(tlim)</code>, <code>max(tlim)</code>).</dd> <dt>perception</dt>
<dd>perceived number of individuals relative to the actual number of individuals.
A non-negative number (&lt;1 values lead to under counting,
&gt;1 values lead to over counting),
or <code>NULL</code> (observer correctly identifies all individuals).</dd> <dt>Settings</dt>
<dd>a list of arguments.</dd></dl>

Arguments

Internal functions — internals

<dl>

 <dt>x</dt>
<dd>simulation object.</dd>

 <dt>event_type</dt>
<dd>type of events to access.</dd>

 <dt>condition</dt>
<dd>conditioning type to define availability for each individual:
<code>"event1"</code>: the 1st event (detected or not);
<code>"det1"</code>: the 1st detection;
<code>"alldet"</code>: all detections (counting the same individual multiple times).</dd>

 <dt>tlim</dt>
<dd>time intervals treated as [<code>min(tlim)</code>, <code>max(tlim)</code>).</dd>

 <dt>perception</dt>
<dd>perceived number of individuals relative to the actual number of individuals.
A non-negative number (&lt;1 values lead to under counting,
&gt;1 values lead to over counting),
or <code>NULL</code> (observer correctly identifies all individuals).</dd>

 <dt>Settings</dt>
<dd>a list of arguments.</dd>

</dl>

internals: Internal functions

Description

Usage

Arguments