Designed for studies where animals tagged with acoustic tags are expected
to move through receiver arrays. This package combines the advantages of automatic sorting and checking
of animal movements with the possibility for user intervention on tags that deviate from expected
behaviour. The three analysis functions (explore(), migration() and residency())
allow the users to analyse their data in a systematic way, making it easy to compare results from
different studies.
CJS calculations are based on Perry et al. (2012) <https://www.researchgate.net/publication/256443823_Using_mark-recapture_models_to_estimate_survival_from_telemetry_data>.

Acoustic Telemetry Data Analysis

package-ubuntu-20.04-r-4.0.5#cran#actel-1.2.1

<p>Find efficiency peers for each array
</p>

findPeers(input, dotmat, type = c("before", "after"), disregard.parallels)

<table summary="R argblock">
<tr valign="top">
<td><code>input</code></td>
<td>
<p>An array list</p>
</td>
</tr>
<tr valign="top">
<td><code>type</code></td>
<td>
<p>The type of peers to be found ("before" or "after")</p>
</td>
</tr>
</table>

<p>The array list with efficiency peers.
</p>

package-ubuntu-20.04-r-4.0.5#cran#actel-1.2.1#docs#findPeers

findPeers

Description

Usage

Arguments

Value

actel

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`input`	An array list
`type`	The type of peers to be found ("before" or "after")