nor1mix-package: Normal aka Gaussian 1-d Mixture Models

In nor1mix: Normal aka Gaussian 1-d Mixture Models

Normal aka Gaussian 1-d Mixture Models

Description

Onedimensional Normal (i.e. Gaussian) Mixture Models (S3) 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.

Details

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Note that direct Maximum Likelihood ML (via optim()) is typically much faster converging (and more reliably detecting convergence correctly), notably thanks to a smart re-parametrization: use norMixMLE().

Author(s)

Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Friedrich Leisch [ctb] (norMixEM(), <https://orcid.org/0000-0001-7278-1983>), Erik Jørgensen [ctb] (pnorMix(), qnorMix())

Maintainer: Martin Maechler <[e-mail]>

See Also

The Marron-Wand examples of normal (gaussian) mixtures MarronWand.

Multivariate distributions from copulas Mvdc from the copula package can use norMix marginals.

Examples

   example(dnorMix)
   

nor1mix documentation built on April 6, 2024, 3:01 a.m.