richness

richness,unmarkedFitOccuComm-method

Estimate posterior distributions of site richness from a fitted community occupancy
 model using empirical Bayes methods. This function uses <code>ranef</code>
 and <code>posteriorSamples</code> internally.

Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates. References: Kellner et al. (2023) <doi:10.1111/2041-210X.14123>, Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.

Ken Kellner

unmarked

Models for Data from Unmarked Animals

Richard Chandler

Ian Fiske

David Miller

Andy Royle

Jeff Hostetler

Rebecca Hutchinson

Adam Smith

Lea Pautrel

Marc Kery

Mike Meredith

Auriel Fournier

Ariel Muldoon

Chris Baker

richness function

<dl> <dt>object</dt>
<dd>A <code>unmarkedFitOccuComm</code> object.</dd> <dt>nsims</dt>
<dd>Number of posterior samples to generate.</dd>
 
 <dt>posterior</dt>
<dd>Logical. If <code>FALSE</code> mean estimates for each site are
 returned; if <code>TRUE</code> the entire posterior for each site is returned.</dd></dl>

Arguments

Ken Kellner <a href="/link/contact%40kenkellner.com?package=unmarked&version=1.5.0" data-mini-rdoc="unmarked::contact@kenkellner.com">contact@kenkellner.com</a>

Author

Estimate posterior distributions of site richness — richness

<dl>

 <dt>object</dt>
<dd>A <code>unmarkedFitOccuComm</code> object.</dd>

 <dt>nsims</dt>
<dd>Number of posterior samples to generate.</dd>
 
 <dt>posterior</dt>
<dd>Logical. If <code>FALSE</code> mean estimates for each site are
 returned; if <code>TRUE</code> the entire posterior for each site is returned.</dd>

</dl>

Ken Kellner <a href='mailto:contact@kenkellner.com'>contact@kenkellner.com</a>

richness: Estimate posterior distributions of site richness

Description

Usage

Arguments

Author

See Also