flexmix.Estimate: Flexible Mixture Estimation

In tlemix: Trimmed Maximum Likelihood Estimation

Description

TLE - flexmix gaussian, poisson & binomial model driver. Calculates the density function according to current parameter estimates.

Usage

flexmix.Estimate(data, ind = NULL, nc, class = "hard", cluster = NULL, 
        niter = 200, minprior = 0.1, model,family,ntry=9)

Arguments

data	Amodel.frame containing the data.
ind	Data subset
nc	Number of clusters
class	Classification method used: auto, weighted, hard or random
cluster	optional vector of working class memberships
niter	Number of iterations
minprior	Minimum number of observations per component
model	The model
family	The model family
ntry	Number of trials

Value

Returns flexmix class estimate.

Author(s)

P. Neytchev, P. Filzmoser, R. Patnaik, A. Eisl and R. Boubela

See Also

flexmix

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