Package: vscc 0.8
vscc: Variable Selection for Clustering and Classification
Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods ('teigen' and 'mclust' are currently supported). Can account for mixtures of non-Gaussian distributions via Manly transform (via 'ManlyMix'). See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2> and Neal and McNicholas (2023) <doi:10.48550/arXiv.2305.16464>.
Authors:
vscc_0.8.tar.gz
vscc_0.8.zip(r-4.7-any)vscc_0.8.zip(r-4.6-any)vscc_0.8.zip(r-4.5-any)
vscc_0.8.tgz(r-4.6-any)vscc_0.8.tgz(r-4.5-any)
vscc_0.8.tar.gz(r-4.7-any)vscc_0.8.tar.gz(r-4.6-any)
vscc_0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
vscc/json (API)
| # Install 'vscc' in R: |
| install.packages('vscc', repos = c('https://mackenzierneal.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:036f6a688e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 158 | ||
| source / vignettes | OK | 222 | ||
| linux-release | OK | 198 | ||
| macos-release | OK | 192 | ||
| macos-oldrel | OK | 191 | ||
| windows-devel | OK | 126 | ||
| windows-release | OK | 99 | ||
| windows-oldrel | OK | 112 | ||
| wasm-release | OK | 103 |
Dependencies:BesselBHclassclustere1071ghypgmplatticeManlyMixMASSmclustMixGHDmixturemvtnormnumDerivproxyRcppRcppArmadilloRcppGSLRmpfrteigen
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Variable Selection for Clustering and Classification | vscc-package |
| Plotting for VSCC Objects | plot.vscc |
| Printing for VSCC | print.vscc |
| Summary for VSCC Objects | summary.vscc |
| Variable Selection for Clustering and Classification | vscc |
| Variable Selection for Skewed Clustering and Classification | vsccmanly |