Rdocumentation
powered by
Learn R Programming
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.
Copy Link
Link to current version
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
90
Version
0.1.3
License
GPL (>= 3)
Maintainer
P. Filzmoser
Last Published
August 23rd, 2013
Functions in tlemix (0.1.3)
Search all functions
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