| nor1mix-package {nor1mix} | R Documentation |
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
The DESCRIPTION file:
| Package: | nor1mix |
| Title: | Normal aka Gaussian 1-d Mixture Models |
| Version: | 1.3-3 |
| Date: | 2024-04-05 |
| Authors@R: | c(person("Martin", "Maechler", role = c("aut","cre"), email = "maechler@stat.math.ethz.ch", comment = c(ORCID = "0000-0002-8685-9910")) , person("Friedrich", "Leisch", role = "ctb", comment = c("norMixEM()", ORCID = "0000-0001-7278-1983")) , person("Erik", "Jørgensen", role = "ctb", comment = "pnorMix(), qnorMix()") ) |
| 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. |
| Imports: | stats, graphics |
| Suggests: | cluster, copula |
| URL: | https://curves-etc.r-forge.r-project.org/, https://r-forge.r-project.org/R/?group_id=846, https://r-forge.r-project.org/scm/viewvc.php/pkg/nor1mix/?root=curves-etc, svn://svn.r-forge.r-project.org/svnroot/curves-etc/pkg/nor1mix |
| BugReports: | https://r-forge.r-project.org/R/?group_id=846 |
| License: | GPL (>= 2) |
| Encoding: | UTF-8 |
| Author: | 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 <maechler@stat.math.ethz.ch> |
Index of help topics:
MarronWand Marron-Wand Densities as 'norMix' Objects
clus2norMix Transform Clustering / Grouping to Normal
Mixture
dnorMix Normal Mixture Density
llnorMix Likelihood, Parametrization and EM-Steps For 1D
Normal Mixtures
nor1mix-package Normal aka Gaussian 1-d Mixture Models
norMix Mixtures of Univariate Normal Distributions
norMix2call Transform "norMix" object into Call, Expression
or Function
norMixEM EM and MLE Estimation of Univariate Normal
Mixtures
plot.norMix Plotting Methods for 'norMix' Objects
pnorMix Normal Mixture Cumulative Distribution and
Quantiles
r.norMix Ratio of Normal Mixture to Corresponding Normal
rnorMix Generate 'Normal Mixture' Distributed Random
Numbers
sort.norMix Sort Method for "norMix" Objects
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 <maechler@stat.math.ethz.ch>
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)