Description Slots Methods Author(s) References

Class for TLE results.

`estimate`

:Estimate object. Class is determined by the estimation procedure used.

`iterbest`

:Iteration with best result.

`it`

:Number of iterations done.

`maxloglik`

:Maximum loglikelihood.

`indbest`

:Index of observations used during the final iteration.

`indout`

:Index of the outliers.

`tleweights`

:Matrix of weights. - Besprechen

`tlelogliks`

:besprechen.

`tleclusters`

:besprechen.

`kTrim`

:Number of observations used.

`kStar`

:Size of the initial random subsample.

`mcomp`

:Number of components.

`nobs`

:Number of observations.

`stop`

:The expected loklikelihood of known model (used for testing).

`call`

:Call of the function.

- show
Prints TLE object.

- summary
Generates a summary of a TLE object.

- tleplot
Plots a two-dimensional scatterplot with clusters and outliers marked by colors.

P. Neytchev, P. Filzmoser, R. Patnaik, A. Eisl and R. Boubela, <P.Filzmoser@tuwien.ac.at> http://www.statistik.tuwien.ac.at/public/filz/

N. Neykov, P. Filzmoser, R. Dimova, and P. Neytchev. Robust fitting of mixtures using the trimmed likelihood estimator. Computational Statistics and Data Analysis, Vol. 17(3), pp. 299-308, 2007.

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