create.ddfobj

Creates and populates a specific list structure to define a detection
function object and its data. The <code>ddfobj</code> is used throughout the
package as a calling argument to various functions.

internal

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

create.ddfobj function

<dl><dt>model</dt>
<dd>model list with key function and possibly adjustment functions,
scale formula, and shape formula</dd>
<dt>xmat</dt>
<dd>model data frame</dd>
<dt>meta.data</dt>
<dd>list of options describing data like width, etc</dd>
<dt>initial</dt>
<dd>named list of initial values for parameters of the detection
function (should have at least <code>"scale"</code>, maybe also have
<code>"shape"</code> and <code>"adjustments"</code>)</dd></dl>

Arguments

Author

Create detection function object — create.ddfobj

<dl>

<dt>model</dt>
<dd>model list with key function and possibly adjustment functions,
scale formula, and shape formula</dd>


<dt>xmat</dt>
<dd>model data frame</dd>


<dt>meta.data</dt>
<dd>list of options describing data like width, etc</dd>


<dt>initial</dt>
<dd>named list of initial values for parameters of the detection
function (should have at least <code>"scale"</code>, maybe also have
<code>"shape"</code> and <code>"adjustments"</code>)</dd>

</dl>

create.ddfobj: Create detection function object

Description

Usage

Value

Arguments

Author

See Also