Estimation of Multinormal Mixture Distribution

[Up] [Top]

Documentation for package ‘mmeln’ version 1.4

Help Pages

anova.mmeln Utility methods for objects of class mmeln
cov.tsf Utility methods for objects of class mmeln
covNA.wt Maximum Likelihood estimation of the model parameters
dmnorm Multivariate Normal Density Function
entropy Posterior probabilities, entropy for mmeln object
entropy.mmeln Posterior probabilities, entropy for mmeln object
estim Maximum Likelihood estimation of the model parameters
estim.mmeln Maximum Likelihood estimation of the model parameters
estimloc.disp.CS1 Maximum Likelihood estimation of the model parameters
estimloc.disp.IND1 Maximum Likelihood estimation of the model parameters
estimmmelnCS1 Maximum Likelihood estimation of the model parameters
estimmmelnIND1 Maximum Likelihood estimation of the model parameters
exY A two mixture example
I.CS1 Maximum Likelihood estimation of the model parameters
I.IND1 Maximum Likelihood estimation of the model parameters
IE.CS1 Maximum Likelihood estimation of the model parameters
IE.IND1 Maximum Likelihood estimation of the model parameters
logit Maximum Likelihood estimation of the model parameters
logLik.mmeln Utility methods for objects of class mmeln
mmeln mmeln : mixture of multivariate normal
mmeln.package Estimation of Multinormal Mixture Distribution
multnm Utility methods for objects of class mmeln
pfQ.intermediate.CS1 Maximum Likelihood estimation of the model parameters
plot.mmeln Utility methods for objects of class mmeln
post Posterior probabilities, entropy for mmeln object
post.mmeln Posterior probabilities, entropy for mmeln object
print.mmelnSOL Utility methods for objects of class mmeln
SEXE A two mixture example
Xinv Maximum Likelihood estimation of the model parameters
Y A two mixture example