nor1mix: 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.

Version: 1.3-0
Imports: stats, graphics
Suggests: cluster
Published: 2019-06-13
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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README ChangeLog
In views: Cluster, Distributions
CRAN checks: nor1mix results

Documentation:

Reference manual: nor1mix.pdf

Downloads:

Package source: nor1mix_1.3-0.tar.gz
Windows binaries: r-devel: nor1mix_1.3-0.zip, r-release: nor1mix_1.3-0.zip, r-oldrel: nor1mix_1.3-0.zip
macOS binaries: r-release (arm64): nor1mix_1.3-0.tgz, r-oldrel (arm64): nor1mix_1.3-0.tgz, r-release (x86_64): nor1mix_1.3-0.tgz, r-oldrel (x86_64): nor1mix_1.3-0.tgz
Old sources: nor1mix archive

Reverse dependencies:

Reverse depends: cqn, SQN
Reverse imports: AROC, baggingbwsel, L2DensityGoFtest, minfi, ROCnReg, varbvs
Reverse suggests: multimode, psychmeta, quantreg
Reverse enhances: copula, sfsmisc

Linking:

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