summary.TLE-class

show,summary.TLE-method

classes

TLE implements a general framework for robust fitting of
finite mixture models. Parameter estimation is performed using
the EM algorithm.

P. Filzmoser

tlemix

Trimmed Maximum Likelihood Estimation

summary.TLE-class function

Objects can be created by calls of the form <code>new("summary.TLE", ...)</code>.

Objects from the Class

<dl>
    <dt><code>call</code>:</dt><dd> Call of the function. </dd> <dt><code>estimate</code>:</dt><dd> Estimate object. Class is determined by the estimation procedure used. </dd> <dt><code>kTrim</code>:</dt><dd> Number of observations used. </dd> <dt><code>kStar</code>:</dt><dd> Size of the initial random subsample. </dd> <dt><code>maxloglik</code>:</dt><dd> Maximum log likelihood. </dd> <dt><code>nobs</code>:</dt><dd> Number of observations. </dd> <dt><code>nout</code>:</dt><dd> Number of outliers. </dd> </dl> 

Slots

<dl>
    <dt>show</dt><dd><code>signature(object = "summary.TLE")</code>: ... </dd> </dl> 

summary.TLE-class: Class "summary.TLE"

Description

Arguments

Objects from the Class

Slots

Methods