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>Finds the largest x for which n %% x == 0
</p>

<table summary="R argblock"><tr valign="top">
<td><code>n</code></td>
<td>
<p>number of plots to fit.</p>
</td>
</tr></table>

<p>Obtained here: <a href="https://stackoverflow.com/questions/32017327/calculate-the-optimal-grid-layout-dimensions-for-a-given-amount-of-plots-in-r">https://stackoverflow.com/questions/32017327/calculate-the-optimal-grid-layout-dimensions-for-a-given-amount-of-plots-in-r</a>
</p>

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

fact

Description

Usage

Arguments

Details

Value

actel

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