Estimates the parameters of normal mixtures by penalized likelihood methods (with exact Newton's method in multivariate case).

Documentation for package ‘pGME’ version 1.0

pGME-package	Estimates the parameters of finite normal mixtures by penalized likelihood methods (with the exact Newton's method in the multivariate case).
convert_object	Converts an object of the class normalMixtureModel into a vector.
createNormalMixtureModel	creates a mixture model object
gaussianMixtureMLE	estimating (penalized) MLE
logliDerivatives	Calculates the analytical derivatives of the penalized log-likelihood function in the multivariate case.
mat2vec	This function produces a row wise half-vectorization of a D x D matrix.
maxAposteriori	maximum a posteriori estimates
normalMixtureModel-class	class for normal mixtures
pGME	Estimates the parameters of finite normal mixtures by penalized likelihood methods (with the exact Newton's method in the multivariate case).
plot-method	plot the density of a normal mixture
plotComponents	plot single components of a normal mixture
show-method	output on the console of a mixture model
simulate-method	simulate data of a normal mixture