TLE-class: Class "TLE"

In tlemix: Trimmed Maximum Likelihood Estimation

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, <[e-mail]> 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.

tlemix documentation built on May 2, 2019, 5:57 a.m.