ipsecrdemo

Demonstration data from program Density are provided as a 
 <code>capthist</code> object (<code>captdata</code>) ready for input to <code>ipsecr.fit</code>.
The fitted models are objects of class <code>ipsecr</code> formed by
<code>ipsecrdemo &lt;- ipsecr.fit(captdata, ncores = 1, detectfn = 'HHN', 
 seed = 1237, details = list(keep.sim = TRUE))</code>

datasets

Estimates the density of a spatially distributed animal population
sampled with an array of passive detectors, such as traps. Models incorporating
distance-dependent detection are fitted by simulation and inverse prediction
as proposed by Efford (2004) <doi:10.1111/j.0030-1299.2004.13043.x>.

Murray Efford

ipsecr

Spatially Explicit Capture-Recapture by Inverse Prediction

ipsecrdemo function

Demonstration data from program Density are provided as a 
 <code>capthist</code> object (<code>captdata</code>) ready for input to <code>ipsecr.fit</code>.
The fitted models are objects of class <code>ipsecr</code> formed by
<code>ipsecrdemo &lt;- ipsecr.fit(captdata, ncores = 1, detectfn = 'HHN', 
 seed = 1237, details = list(keep.sim = TRUE))</code>

Object	Description
ipsecrdemo	fitted ipsecr model -- null

ipsecrdemo: SECR Model Fitted to Demonstration Data

Description

Usage

Arguments

Details

References

See Also

Examples