shinyPower

Launch a Shiny app to test power under various scenarios. Requires the Shiny 
 package to be installed.

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

shinyPower function

<dl> <dt>object</dt>
<dd>A template <code>unmarkedFit</code> object; see 
 documentation for <code>powerAnalysis</code> for details on how to create this</dd> <dt>...</dt>
<dd>Currently ignored</dd></dl>

Arguments

Launch a Shiny app to help with power analysis — shinyPower

<dl>

 <dt>object</dt>
<dd>A template <code>unmarkedFit</code> object; see 
 documentation for <code>powerAnalysis</code> for details on how to create this</dd>

 <dt>...</dt>
<dd>Currently ignored</dd>

</dl>

Launch a Shiny app to help with power analysis

shinyPower: Launch a Shiny app to help with power analysis

Description

Usage

Value

Arguments