tlemix: Trimmed Maximum Likelihood Estimation

TLE implements a general framework for robust fitting of finite mixture models. Parameter estimation is performed using the EM algorithm.

AuthorP. Neytchev, P. Filzmoser, R. Patnaik, A. Eisl and R. Boubela
Date of publication2013-08-23 14:09:27
MaintainerPeter Filzmoser <>
LicenseGPL (>= 3)

View on CRAN


coefglm Man page
coefmclust Man page
dPois Man page
estimate Man page
estimate,TLE-method Man page
flexmix.Density Man page
flexmix.Estimate Man page
FLXmclust.Density Man page
FLXmclust.Estimate Man page
gaussData Man page
McLachlan150 Man page
plot Man page
plot,flexmix,missing-method Man page
plot,FLXRoptim,missing-method Man page
plot,stepFlexmix,missing-method Man page
plot,TLE,missing-method Man page
show,summary.TLE-method Man page
show,TLE-method Man page
summary Man page
summary.TLE-class Man page
summary,TLE-method Man page
TLE Man page
TLE-class Man page
TLE,data.frame,ANY,ANY,ANY,ANY,ANY,ANY,ANY,numeric,function,func Man page
TLE,formula,character,ANY,ANY,ANY,ANY,ANY,ANY,ANY,ANY,numeric,fu Man page
TLE-methods Man page
tlemix Man page
tlemix-package Man page
TLE,numeric,numeric,ANY,numeric,numeric,ANY,numeric,ANY,function Man page
tleplot Man page
tleplot,TLE,data.frame-method Man page
tleplot,TLE-function Man page

Questions? Problems? Suggestions? or email at

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.