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:
ContaminatedMixt_1.3.8.tar.gz
ContaminatedMixt_1.3.8.tar.gz(r-4.7-arm64)ContaminatedMixt_1.3.8.tar.gz(r-4.7-x86_64)ContaminatedMixt_1.3.8.tar.gz(r-4.6-arm64)ContaminatedMixt_1.3.8.tar.gz(r-4.6-x86_64)
ContaminatedMixt_1.3.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ContaminatedMixt/json (API)
| # Install 'ContaminatedMixt' in R: |
| install.packages('ContaminatedMixt', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- wine - Wine Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:130631abc1. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 175 | ||
| linux-devel-x86_64 | OK | 191 | ||
| source / vignettes | OK | 217 | ||
| linux-release-arm64 | OK | 184 | ||
| linux-release-x86_64 | OK | 186 | ||
| wasm-release | OK | 569 |
Exports:agreeCNmixtCNmixtCVCNpredictdCNgetBestModelgetClustergetCVgetDetectiongetICgetPargetPosteriorgetSizem.steprCNwhichBestwhichBestCV
Dependencies:BHcaretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmclustmixturemnormtModelMetricsmvtnormnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppArmadilloRcppGSLrecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ContaminatedMixt - Parsimonious Mixtures of Contaminated Normal Distributions | ContaminatedMixt-package ContaminatedMixt |
| Agreement Between Partitions | agree |
| Fitting for the Parsimonious Mixtures of Contaminated Normal Distributions | CNmixt CNmixtCV |
| Cluster Prediction | CNpredict predict.ContaminatedMixt |
| Multivariate Contaminated Normal Distribution | dCN rCN |
| Extractors for 'ContaminatedMixt' Class Objects. | getBestModel getCluster getCV getDetection getIC getPar getPosterior getSize print.ContaminatedMixt summary.ContaminatedMixt whichBest whichBestCV |
| M-step of the EM algorithm for Parsimonious Normal Mixtures | m.step |
| Scatterplot Matrix for ContaminatedMixt Objects | pairs.ContaminatedMixt |
| Scatterplot for ContaminatedMixt Objects | plot.ContaminatedMixt |
| Wine Data Set | wine |