AIC.ddf

AIC.ds

AIC.io

AIC.io.fi

AIC.rem

AIC.rem.fi

AIC.trial

AIC.trial.fi

Extract the AIC from a fitted detection function.

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

AIC.ddf function

<dl><dt>object</dt>
<dd>a fitted detection function object</dd>
<dt>...</dt>
<dd>optionally more fitted model objects.</dd>
<dt>k</dt>
<dd>penalty per parameter to be used; the default <code>k = 2</code> is the
"classical" AIC</dd></dl>

Arguments

Author

Akaike's An Information Criterion for detection functions — AIC.ddf

<dl>

<dt>object</dt>
<dd>a fitted detection function object</dd>


<dt>...</dt>
<dd>optionally more fitted model objects.</dd>


<dt>k</dt>
<dd>penalty per parameter to be used; the default <code>k = 2</code> is the
"classical" AIC</dd>

</dl>

Akaike's An Information Criterion for detection functions

AIC.ddf: Akaike's An Information Criterion for detection functions

Description

Usage

Arguments

Author