ddCI

Calculate a confidence interval for the CDF, PDF, or quantile of a carcass
distance distribution.

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

ddCI function

<dl><dt>mod</dt>
<dd>a <code>dd</code> object</dd>
<dt>x</dt>
<dd>distance from turbine (scalar or vector) or probability (for quantile)</dd>
<dt>type</dt>
<dd><code>"CDF"</code>, <code>"PDF"</code>, or <code>"quantile"</code></dd>
<dt>CL</dt>
<dd>confidence level for the confidence interval(s)</dd>
<dt>nsim</dt>
<dd>number of simulation draws to base the estimate of <code>CI</code> on</dd>
<dt>extent</dt>
<dd>whether to calculate <code>CI</code> based on the full range of
possible data and extrapolating beyond the search radius
(<code>extent = "full"</code>) or restricting the distribution to the area within
the search radius (<code>extent = "win"</code>).</dd>
<dt>zrad</dt>
<dd>an ad hoc radius to integrate to when the (uncommon) simulated
parameter estimates do not result in an extensible distribution. In effect,
This replaces NAs with 1s in CDFs and with 0s in PDFs.</dd>
<dt>na.tol</dt>
<dd>maximum fraction of invalid parameter sets to discard when
constructing CIs; abort if <code>mean(mod[, "extensible"]) &gt; na.tol</code></dd></dl>

Arguments

Calculate CI for CDF, PDF, or quantile — ddCI

<dl>

<dt>mod</dt>
<dd>a <code>dd</code> object</dd>


<dt>x</dt>
<dd>distance from turbine (scalar or vector) or probability (for quantile)</dd>


<dt>type</dt>
<dd><code>"CDF"</code>, <code>"PDF"</code>, or <code>"quantile"</code></dd>


<dt>CL</dt>
<dd>confidence level for the confidence interval(s)</dd>


<dt>nsim</dt>
<dd>number of simulation draws to base the estimate of <code>CI</code> on</dd>


<dt>extent</dt>
<dd>whether to calculate <code>CI</code> based on the full range of
possible data and extrapolating beyond the search radius
(<code>extent = "full"</code>) or restricting the distribution to the area within
the search radius (<code>extent = "win"</code>).</dd>


<dt>zrad</dt>
<dd>an ad hoc radius to integrate to when the (uncommon) simulated
parameter estimates do not result in an extensible distribution. In effect,
This replaces NAs with 1s in CDFs and with 0s in PDFs.</dd>


<dt>na.tol</dt>
<dd>maximum fraction of invalid parameter sets to discard when
constructing CIs; abort if <code>mean(mod[, "extensible"]) &gt; na.tol</code></dd>

</dl>

ddCI: Calculate CI for CDF, PDF, or quantile

Description

Usage

Value

Arguments