Package: vscc 0.7
Paul D. McNicholas
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_0.7.tar.gz
vscc_0.7.tar.gz(r-4.5-noble)vscc_0.7.tar.gz(r-4.4-noble)
vscc_0.7.tgz(r-4.4-emscripten)vscc_0.7.tgz(r-4.3-emscripten)
vscc.pdf |vscc.html✨
vscc/json (API)
| # Install 'vscc' in R: |
| install.packages('vscc', repos = c('https://cran.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 1 years agofrom:d3e518333a. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 11 2024 |
| R-4.5-linux | NOTE | Dec 11 2024 |
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 |