Class for TLE results.
Estimate object. Class is determined by the estimation procedure used.
Iteration with best result.
Number of iterations done.
Index of observations used during the final iteration.
Index of the outliers.
Matrix of weights. - Besprechen
Number of observations used.
Size of the initial random subsample.
Number of components.
Number of observations.
The expected loklikelihood of known model (used for testing).
Call of the function.
Prints TLE object.
Generates a summary of a TLE object.
Plots a two-dimensional scatterplot with clusters and outliers marked by colors.
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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