Package: opGMMassessment 0.4

Jorn Lotsch

opGMMassessment: Optimized Automated Gaussian Mixture Assessment

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>.

Authors:Jorn Lotsch [aut,cre], Sebastian Malkusch [aut], Martin Maechler [ctb], Peter Rousseeuw [ctb], Anja Struyf [ctb], Mia Hubert [ctb], Kurt Hornik [ctb]

opGMMassessment_0.4.tar.gz
opGMMassessment_0.4.tar.gz(r-4.5-noble)opGMMassessment_0.4.tar.gz(r-4.4-noble)
opGMMassessment_0.4.tgz(r-4.4-emscripten)opGMMassessment_0.4.tgz(r-4.3-emscripten)
opGMMassessment.pdf |opGMMassessment.html
opGMMassessment/json (API)

# Install 'opGMMassessment' in R:
install.packages('opGMMassessment', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Chromatogram - Example data of lysophosphatidic acids, LPA.
  • Mixture3 - Example Gaussian mixture data.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 1 packages 205 downloads 2 exports 117 dependencies

Last updated 8 months agofrom:902173ad22. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-linuxOKNov 27 2024

Exports:GMMplotGGopGMMassessment

Dependencies:AdaptGaussaskpassbase64encbitopsbootbslibcachemcaToolscliclusterClusterRcodacodetoolscolorspacecommonmarkcpp11crayoncrosstalkcurldata.tableDataVisualizationsdigestdiptestDistributionOptimizationdoParalleldplyrevaluatefansifarverfastGHQuadfastmapFNNfontawesomeforeachfsGAgenericsggplot2gluegmpgtablehighrhtmltoolshtmlwidgetshttpuvhttrisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabelinglaterlatticelazyevallifecyclelme4magrittrMASSMatrixmclustmemoisemgcvmimeminqamixAKmixtoolsmnormtmulticoolmultimodemunsellmvtnormNbClustnlmenloptropensslpillarpkgconfigplotlyplyrpracmapromisespurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrmarkdownrootSolvesassscalessegmentedshinysourcetoolsspstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml