Package: VarSelLCM 2.1.3.2
VarSelLCM: Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values
Full model selection (detection of the relevant features and estimation of the number of clusters) for model-based clustering (see reference here <doi:10.1007/s11222-016-9670-1>). Data to analyze can be continuous, categorical, integer or mixed. Moreover, missing values can occur and do not necessitate any pre-processing. Shiny application permits an easy interpretation of the results.
Authors:
VarSelLCM_2.1.3.2.tar.gz
VarSelLCM_2.1.3.2.zip(r-4.7)VarSelLCM_2.1.3.2.zip(r-4.6)VarSelLCM_2.1.3.2.zip(r-4.5)
VarSelLCM_2.1.3.2.tgz(r-4.6-x86_64)VarSelLCM_2.1.3.2.tgz(r-4.6-arm64)VarSelLCM_2.1.3.2.tgz(r-4.5-x86_64)VarSelLCM_2.1.3.2.tgz(r-4.5-arm64)
VarSelLCM_2.1.3.2.tar.gz(r-4.7-arm64)VarSelLCM_2.1.3.2.tar.gz(r-4.7-x86_64)VarSelLCM_2.1.3.2.tar.gz(r-4.6-arm64)VarSelLCM_2.1.3.2.tar.gz(r-4.6-x86_64)
VarSelLCM_2.1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
VarSelLCM/json (API)
NEWS
| # Install 'VarSelLCM' in R: |
| install.packages('VarSelLCM', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/varsellcm
- heart - Statlog (Heart) Data Set
Last updated from:485906166c. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 277 | ||
| linux-devel-x86_64 | OK | 268 | ||
| source / vignettes | OK | 379 | ||
| linux-release-arm64 | OK | 280 | ||
| linux-release-x86_64 | OK | 262 | ||
| macos-release-arm64 | OK | 199 | ||
| macos-release-x86_64 | OK | 314 | ||
| macos-oldrel-arm64 | OK | 187 | ||
| macos-oldrel-x86_64 | OK | 418 | ||
| windows-devel | OK | 289 | ||
| windows-release | OK | 311 | ||
| windows-oldrel | OK | 261 | ||
| wasm-release | OK | 208 |
Exports:AICARIBICcoefcoefficientsfittedfitted.valuesICLMICLplotpredictprintsummaryVarSelClusterVarSelImputationVarSelShiny
Dependencies:base64encbslibcachemclicommonmarkcpp11digestfarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMatrixmemoisemgcvmimenlmeotelpromisesR6rappdirsRColorBrewerRcppRcppArmadillorlangS7sassscalesshinysourcetoolsvctrsviridisLitewithrxtable
