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]