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tlemix (version 0.1.3)
Trimmed Maximum Likelihood Estimation
Description
TLE implements a general framework for robust fitting of finite mixture models. Parameter estimation is performed using the EM algorithm.
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Version
Version
0.1.3
0.0.9
0.0.8
0.0.7
0.0.6
0.0.5
0.0.4
Install
install.packages('tlemix')
Monthly Downloads
74
Version
0.1.3
License
GPL (>= 3)
Maintainer
P. Filzmoser
Last Published
August 23rd, 2013
Functions in tlemix (0.1.3)
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coefmclust
coefmclust
TLE-methods
Methods for Function TLE in Package `tlemix'
summary
Summary method for TLE-class objects.
gaussData
Mixture of two standard normal distributions
coefglm
coefglm
flexmix.Density
Model driver for flexmix
McLachlan150
Mixture of two standard normal distributions
FLXmclust.Estimate
Flexible Mixture Estimation
tlemix-package
TLE - Robust Estimation of Mixture Models using the Fast-TLE algorithm.
TLE
Trimmed Likelihood Estimator
TLE-class
Class "TLE"
FLXmclust.Density
Model driver for flexmix
summary.TLE-class
Class "summary.TLE"
plot-methods
Plot method for TLE-class objects.
dPois
Mixture two Poisson Regression Models
estimate
Getter for estimate object of TLE-ojbects.
tleplot
2D Scatterplot with cluster membership indications
flexmix.Estimate
Flexible Mixture Estimation