fmmax

fmmax.ab

Improper priors need to be clipped in order to be usable.
 <code>fmmax</code> and <code>fmmax.ab</code> find values of \(m\) that are large enough
 that the probability of exceeding is less than 0.0001 (depends on \(g\) and
 \(X\)).

Fit a Poisson regression to carcass distance data and integrate over the searched area at a wind farm to estimate the fraction of carcasses falling in the searched area and format the output for use as the dwp parameter in the 'GenEst' or 'eoa' package for estimating bird and bat mortality, following Dalthorp, et al. (2022) <arXiv:2201.10064>.

Daniel Dalthorp

Density-Weighted Proportion

Manuela Huso

fmmax function

<dl><dt>x</dt>
<dd>carcass count</dd>
<dt>g</dt>
<dd>overall carcass detection probability</dd>
<dt>pBa, pBb</dt>
<dd>parameters for beta distribution characterizing estimated \(g\)</dd></dl>

Arguments

Find suitable mmax for clipping improper priors for M — fmmax

<dl>

<dt>x</dt>
<dd>carcass count</dd>


<dt>g</dt>
<dd>overall carcass detection probability</dd>


<dt>pBa, pBb</dt>
<dd>parameters for beta distribution characterizing estimated \(g\)</dd>

</dl>

fmmax: Find suitable mmax for clipping improper priors for M

Description

Usage

Value

Arguments