coef.palm

coef.palm_twocamerachild

Extracts estimated parameters from an object returned by the
fitting functions in this package, such as fit.ns,
fit.void, and fit.twocamera.

Functions to fit point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <DOI:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation for point process models in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit the void processes proposed by Jones-Todd et al. (2019) <DOI:10.1002/sim.8046>. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified---the data from which can conceptually be seen as a clustered point process (Stevenson, Borchers, and Fewster, 2019 <DOI:10.1111/biom.12983>). As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.

Ben Stevenson

palm

Fitting Point Process Models via the Palm Likelihood

coef.palm function

<dl><dt>object</dt>
<dd>A fitted model object.</dd>
<dt>se</dt>
<dd>Logical, if <code>TRUE</code> standard errors are presented
(if available) instead of parameter estimates.</dd>
<dt>...</dt>
<dd>Other parameters (for S3 generic compatibility).</dd>
<dt>report.2D</dt>
<dd>Logical, for two-camera model fits only. If
<code>TRUE</code>, two-dimensional animal density is reported.</dd></dl>

Arguments

Extract parameter estimates. — coef.palm

<dl>

<dt>object</dt>
<dd>A fitted model object.</dd>


<dt>se</dt>
<dd>Logical, if <code>TRUE</code> standard errors are presented
(if available) instead of parameter estimates.</dd>


<dt>...</dt>
<dd>Other parameters (for S3 generic compatibility).</dd>


<dt>report.2D</dt>
<dd>Logical, for two-camera model fits only. If
<code>TRUE</code>, two-dimensional animal density is reported.</dd>

</dl>

coef.palm: Extract parameter estimates.

Description

Usage

Arguments