extract_index_data

Subsets area weights and extracts n values from JAGS samples

internal

The North American Breeding Bird Survey (BBS) is a long-running
program that seeks to monitor the status and trends of the breeding birds in
North America. Since its start in 1966, the BBS has accumulated over 50 years
of data for over 500 species of North American Birds. Given the temporal and
spatial structure of the data, hierarchical Bayesian models are used to assess
the status and trends of these 500+ species of birds. 'bbsBayes' allows you to perform
hierarchical Bayesian analysis of BBS data. You can run a full
model analysis for one or more species that you choose, or you can take
more control and specify how the data should be stratified, prepared
for 'JAGS', or modelled. The functions provided here allow you to replicate
analyses performed by the United State Geological Survey (USGS, see Link
and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian Wildlife Service
(CWS, see Smith and Edwards (2020) <doi:10.1101/2020.03.26.010215>).

Brandon P.M. Edwards

bbsBayes

Hierarchical Bayesian Analysis of North American BBS Data

Adam C. Smith

extract_index_data function

<dl><dt>jags_mod</dt>
<dd>JAGS list generated by <code>run_model</code></dd></dl>

Arguments

Extract index data — extract_index_data

<dl>

<dt>jags_mod</dt>
<dd>JAGS list generated by <code>run_model</code></dd>

</dl>

extract_index_data: Extract index data

Description

Usage

Value

Arguments