TLE-class {tlemix}R Documentation

Class "TLE"

Description

Class for TLE results.

Slots

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.

Methods

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.

Author(s)

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

References

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.


[Package tlemix version 0.0.4 Index]