bup,unmarkedRanef-method

Extract Best Unbiased Predictors (BUPs) of latent variables such as 
 occupancy or abundance from a <code>unmarkedRanef</code> object produced by the
 <code>ranef</code> function. Either the posterior mean or median can be requested.

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

bup function

<dl> <dt>object</dt>
<dd>A <code>unmarkedRanef</code> object, the output of a call to <code>ranef</code>.</dd> <dt>stat</dt>
<dd>The statistic to calculate from the posterior, either mean or mode.</dd> <dt>...</dt>
<dd>Other arguments, currently ignored</dd>
 
</dl>

Arguments

Extract Best Unbiased Predictors (BUPs) of latent variables from ranef output — bup

<dl>

 <dt>object</dt>
<dd>A <code>unmarkedRanef</code> object, the output of a call to <code>ranef</code>.</dd>

 <dt>stat</dt>
<dd>The statistic to calculate from the posterior, either mean or mode.</dd>

 <dt>...</dt>
<dd>Other arguments, currently ignored</dd>
 
</dl>

Extract Best Unbiased Predictors (BUPs) of latent variables from <code>ranef</code> output

bup: Extract Best Unbiased Predictors (BUPs) of latent variables from `ranef` output

Description

Usage

Value

Arguments

See Also