CRAN/E | opGMMassessment

opGMMassessment

Optimized Automated Gaussian Mixture Assessment

Installation

About

Necessary functions for optimized automated evaluation of the number and parameters of Gaussian mixtures in one-dimensional data. Various methods are available for parameter estimation and for determining the number of modes in the mixture. A detailed description of the methods ca ben found in Lotsch, J., Malkusch, S. and A. Ultsch. (2022) doi:10.1016/j.imu.2022.101113.

Citation opGMMassessment citation info

Key Metrics

Version 0.4
R ≥ 3.5.0
Published 2024-04-14 15 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Jorn Lotsch

j.lotsch@em.uni-frankfurt.de

Authors

Jorn Lotsch

aut / cre

(<https://orcid.org/0000-0002-5818-6958>)

Sebastian Malkusch

aut

(<https://orcid.org/0000-0001-6766-140X>)

Martin Maechler

ctb

Peter Rousseeuw

ctb

Anja Struyf

ctb

Mia Hubert

ctb

Kurt Hornik

ctb

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

opGMMassessment archive

Depends

R ≥ 3.5.0

Imports

AdaptGauss
DataVisualizations
DistributionOptimization
cluster
mixtools
grDevices
methods
foreach
stats
utils
rlang
ggplot2
parallel
caTools
dplyr
mclust
mixAK
multimode
NbClust
ClusterR
doParallel

Reverse Imports

EDOtrans