compute.Nht

Compute individual components of Horvitz-Thompson abundance estimate in
covered region for a particular subset of the data depending on value of
group = TRUE (do group abundance); FALSE(do individual abundance)

utility

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

compute.Nht function

<dl><dt>pdot</dt>
<dd>vector of estimated detection probabilities</dd>
<dt>group</dt>
<dd>if TRUE (do group abundance); FALSE(do individual abundance)</dd>
<dt>size</dt>
<dd>vector of group size values for clustered populations</dd></dl>

Arguments

Author

Horvitz-Thompson estimates 1/p_i or s_i/p_i — compute.Nht

<dl>

<dt>pdot</dt>
<dd>vector of estimated detection probabilities</dd>


<dt>group</dt>
<dd>if TRUE (do group abundance); FALSE(do individual abundance)</dd>


<dt>size</dt>
<dd>vector of group size values for clustered populations</dd>

</dl>

compute.Nht: Horvitz-Thompson estimates 1/p_i or s_i/p_i

Description

Usage

Value

Arguments

Author