WeatherLoach

<p>Data from marked individuals captured on multiple occasions
The weather-loach study was described in detail by Huggin ()
Different colored batch tags were given to a random sample of unmarked individuals at each occasion.</p>

datasets

A system for batch-marking data analysis to estimate survival probabilities, capture probabilities, and enumerate the population abundance for both marked and unmarked individuals. The estimation of only marked individuals can be achieved through the batchMarkOptim() function. Similarly, the combined marked and unmarked can be achieved through the batchMarkUnmarkOptim() function. The algorithm was also implemented for the hidden Markov model encapsulated in batchMarkUnmarkOptim() to estimate the abundance of both marked and unmarked individuals in the population. The package is based on the paper: "Hidden Markov Models for Extended Batch Data" of Cowen et al. (2017) <doi:10.1111/biom.12701>.

Kehinde Olobatuyi

extBatchMarking

Extended Batch Marking Models

Simon Johns

Matthew RP Parker

Steve Hof

Laura LE Cowen

WeatherLoach function


<div class="section" id="-weather-loach-">
<h3>'Weather_loach'</h3><p></p><p>
</p><p>A data frame with 10 rows indicating number of captures and 11 columns indicating recaptures</p><dl>
<dt>Weather Loach Data</dt>
<dd></dd><p></p><p>
</p></dl><p></p><p></p></div>


Format

Weather Loach data — WeatherLoach


<div class='section' id='-weather-loach-'>
<h3>'Weather_loach'</h3>


<p>A data frame with 10 rows indicating number of captures and 11 columns indicating recaptures</p><dl>
<dt>Weather Loach Data</dt>
<dd></dd>


</dl>

</div>


WeatherLoach: Weather Loach data

Description

Usage

Arguments

Format

'Weather_loach'