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.
Prints TLE object.
Generates a summary of a TLE object.
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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