slice.mle2-class

evaluations of log-likelihood along transects in parameter space

classes

Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.

Ben Bolker

bbmle

Tools for General Maximum Likelihood Estimation

R Development Core Team 

Iago Giné-Vázquez 

slice.mle2-class function

Objects can be created by calls of the form <code>new("slice.mle2", ...)</code>.
The objects are similar to likelihood profiles, but don't involve
any optimization with respect to the other parameters.

Objects from the Class

<dl>
 <dt><code>profile</code>:</dt>
<dd>Object of class <code>"list"</code>. List of
 slices, one for each requested parameter. Each slice is a data
 frame with the first column called <code>z</code> being the signed square
 root of the -2 log likelihood ratio, and the others being the
 parameters with names prefixed by <code>par.vals.</code></dd> <dt><code>summary</code>:</dt>
<dd>Object of class <code>"summary.mle2"</code>. Summary
 of object being profiled.</dd> 
</dl>

Slots

<dl>
 <dt>plot</dt>
<dd><code>signature(x = "profile.mle2", y = "missing")</code>: Plot
 profiles for each parameter.</dd> 
</dl>

Methods

likelihood-surface slices — slice.mle2-class

<dl>
 <dt><code>profile</code>:</dt>
<dd>Object of class <code>"list"</code>. List of
 slices, one for each requested parameter. Each slice is a data
 frame with the first column called <code>z</code> being the signed square
 root of the -2 log likelihood ratio, and the others being the
 parameters with names prefixed by <code>par.vals.</code></dd>

 <dt><code>summary</code>:</dt>
<dd>Object of class <code>"summary.mle2"</code>. Summary
 of object being profiled.</dd>

 
</dl>

<dl>
 <dt>plot</dt>
<dd><code>signature(x = "profile.mle2", y = "missing")</code>: Plot
 profiles for each parameter.</dd>

 
</dl>

slice.mle2-class: likelihood-surface slices

Description

Arguments

Objects from the Class

Slots

Methods

See Also