Normal aka Gaussian (1-d) Mixture Models (S3 Classes and Methods)

Onedimensional Normal (i.e. Gaussian) Mixture Models Classes, for, e.g., density estimation or clustering algorithms research and teaching; providing the widely used Marron-Wand densities. Efficient random number generation and graphics. Fitting to data by efficient ML (Maximum Likelihood) or traditional EM estimation.


Reference manual

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1.3-0 by Martin Maechler, a year ago

Browse source code at

Authors: Martin Maechler [aut, cre] , Friedrich Leisch [ctb] (norMixEM() , , Erik Jørgensen [ctb] (pnorMix() , qnorMix())

Documentation:   PDF Manual  

Task views: Cluster Analysis & Finite Mixture Models, Probability Distributions

GPL (>= 2) license

Imports stats, graphics

Suggests cluster

Imported by AROC, L2DensityGoFtest, ROCnReg, binnednp, varbvs.

Depended on by SQN.

Suggested by multimode, psychmeta, quantreg.

Enhanced by copula, sfsmisc.

See at CRAN