Package: ContaminatedMixt 1.3.8

Angelo Mazza

ContaminatedMixt: Clustering and Classification with the Contaminated Normal

Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional- maximization algorithm under a clustering or classification paradigm Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) <doi:10.18637/jss.v085.i10>.

Authors:Antonio Punzo, Angelo Mazza, Paul D. McNicholas

ContaminatedMixt_1.3.8.tar.gz
ContaminatedMixt_1.3.8.tar.gz(r-4.5-noble)ContaminatedMixt_1.3.8.tar.gz(r-4.4-noble)
ContaminatedMixt_1.3.8.tgz(r-4.4-emscripten)ContaminatedMixt_1.3.8.tgz(r-4.3-emscripten)
ContaminatedMixt.pdf |ContaminatedMixt.html
ContaminatedMixt/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • wine - Wine Data Set

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

openblas

2.28 score 1 packages 63 scripts 592 downloads 17 exports 82 dependencies

Last updated 2 years agofrom:130631abc1. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-linux-x86_64OKNov 27 2024

Exports:agreeCNmixtCNmixtCVCNpredictdCNgetBestModelgetClustergetCVgetDetectiongetICgetPargetPosteriorgetSizem.steprCNwhichBestwhichBestCV

Dependencies:BHcaretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmclustmgcvmixturemnormtModelMetricsmunsellmvtnormnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppArmadilloRcppGSLrecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr