confint.palm

Extracts confidence intervals for estimated and derived parameters
from a model fitted using fit.ns, fit.void, or
fit.twocamera, then bootstrapped using boot.palm.

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

confint.palm function

<dl><dt>object</dt>
<dd>A fitted model returned by fit.ns,
bootstrapped using boot.</dd>
<dt>parm</dt>
<dd>A vector of parameter names, specifying which
parameters are to be given confidence intervals. Defaults to
all parameters.</dd>
<dt>level</dt>
<dd>The confidence level required.</dd>
<dt>method</dt>
<dd>A character string specifying the method used to
calculate confidence intervals. Choices are "normal", for a
normal approximation, and "percentile", for the percentile
method.</dd>
<dt>...</dt>
<dd>Other parameters (for S3 generic compatibility).</dd></dl>

Arguments

Extracts Neyman-Scott point process parameter confidence intervals. — confint.palm

<dl>

<dt>object</dt>
<dd>A fitted model returned by fit.ns,
bootstrapped using boot.</dd>


<dt>parm</dt>
<dd>A vector of parameter names, specifying which
parameters are to be given confidence intervals. Defaults to
all parameters.</dd>


<dt>level</dt>
<dd>The confidence level required.</dd>


<dt>method</dt>
<dd>A character string specifying the method used to
calculate confidence intervals. Choices are "normal", for a
normal approximation, and "percentile", for the percentile
method.</dd>


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

</dl>

confint.palm: Extracts Neyman-Scott point process parameter confidence intervals.

Description

Usage

Arguments

Details

Examples