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nor1mix: Normal aka Gaussian 1-d Mixture Models

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.

Version: 1.3-3
Imports: stats, graphics
Suggests: cluster, copula
Published: 2024-04-06
DOI: 10.32614/CRAN.package.nor1mix
Author: Martin Maechler ORCID iD [aut, cre], Friedrich Leisch ORCID iD [ctb] (norMixEM()), Erik Jørgensen [ctb] (pnorMix(), qnorMix())
Maintainer: Martin Maechler <maechler at stat.math.ethz.ch>
BugReports: https://r-forge.r-project.org/R/?group_id=846
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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
NeedsCompilation: no
Materials: README ChangeLog
In views: Cluster, Distributions
CRAN checks: nor1mix results

Documentation:

Reference manual: nor1mix.pdf

Downloads:

Package source: nor1mix_1.3-3.tar.gz
Windows binaries: r-devel: nor1mix_1.3-3.zip, r-release: nor1mix_1.3-3.zip, r-oldrel: nor1mix_1.3-3.zip
macOS binaries: r-release (arm64): nor1mix_1.3-3.tgz, r-oldrel (arm64): nor1mix_1.3-3.tgz, r-release (x86_64): nor1mix_1.3-3.tgz, r-oldrel (x86_64): nor1mix_1.3-3.tgz
Old sources: nor1mix archive

Reverse dependencies:

Reverse depends: SQN
Reverse imports: baggingbwsel, cqn, drcte, L2DensityGoFtest, minfi, ROCnReg, SPARTAAS, varbvs
Reverse suggests: kedd, multimode, norMmix, psychmeta, quantreg
Reverse enhances: copula, sfsmisc

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nor1mix to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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