adj.series.grad.herm

For internal use only -- not to be called by 'mrds' or 'Distance' users 
directly.

Animal abundance estimation via conventional, multiple covariate
and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function
fitting is performed via maximum likelihood. Also included are diagnostics
and plotting for fitted detection functions. Abundance estimation is via a
Horvitz-Thompson-like estimator.

Laura Marshall

mrds

Mark-Recapture Distance Sampling

Jeff Laake

David Miller

Felix Petersma

Len Thomas

David Borchers

Jon Bishop

Jonah McArthur

Eric Rexstad

adj.series.grad.herm function

<dl><dt>distance</dt>
<dd>perpendicular distance vector/scalar</dd>
<dt>scaling</dt>
<dd>scale parameter</dd>
<dt>adj.order</dt>
<dd>the adjustment order</dd>
<dt>adj.parm</dt>
<dd>vector of parameters (a_j)</dd>
<dt>adj.exp</dt>
<dd>boolean, defaults to FALSE</dd></dl>

Arguments

Author

Series of the gradient of the Hermite polynomial adjustment series w.r.t. the 
scaled distance. — adj.series.grad.herm

<dl>

<dt>distance</dt>
<dd>perpendicular distance vector/scalar</dd>


<dt>scaling</dt>
<dd>scale parameter</dd>


<dt>adj.order</dt>
<dd>the adjustment order</dd>


<dt>adj.parm</dt>
<dd>vector of parameters (a_j)</dd>


<dt>adj.exp</dt>
<dd>boolean, defaults to FALSE</dd>

</dl>

Series of the gradient of the Hermite polynomial adjustment series w.r.t. the 
scaled distance.

adj.series.grad.herm: Series of the gradient of the Hermite polynomial adjustment series w.r.t. the scaled distance.

Description

Usage

Value

Arguments

Author