Precision of parameter estimates from an SECR model, expressed as relative standard error.

Functions to estimate the density and size of a spatially
distributed animal population sampled with an array of passive detectors,
such as traps, or by searching polygons or transects. Models incorporating
distance-dependent detection are fitted by maximizing the likelihood.
Tools are included for data manipulation and model selection.

Murray Efford

secr

Spatially Explicit Capture-Recapture

Philipp Jund

David Fletcher

Yan Ru Choo

RSE function

<dl>
 <dt>fit</dt>
<dd>secr or openCR fitted model</dd> <dt>parm</dt>
<dd>character; names of one or more real parameters (default all)</dd> <dt>newdata</dt>
<dd>dataframe of covariates for <code>predict.secr</code></dd>
</dl>

Arguments

Precision of parameter estimates from an SECR model, expressed as relative standard error.

RSE from Fitted Model — RSE

<dl>


 <dt>fit</dt>
<dd>secr or openCR fitted model</dd>

 <dt>parm</dt>
<dd>character; names of one or more real parameters (default all)</dd>

 <dt>newdata</dt>
<dd>dataframe of covariates for <code>predict.secr</code></dd>


</dl>

RSE: RSE from Fitted Model

Description

Usage

Value

Arguments

Details

References

See Also

Examples