Package: oclust 0.2.0
oclust: Gaussian Model-Based Clustering with Outliers
Provides a function to detect and trim outliers in Gaussian mixture model-based clustering using methods described in Clark and McNicholas (2022) <arxiv:1907.01136>.
Authors:
oclust_0.2.0.tar.gz
oclust_0.2.0.zip(r-4.5)oclust_0.2.0.zip(r-4.4)oclust_0.2.0.zip(r-4.3)
oclust_0.2.0.tgz(r-4.4-any)oclust_0.2.0.tgz(r-4.3-any)
oclust_0.2.0.tar.gz(r-4.5-noble)oclust_0.2.0.tar.gz(r-4.4-noble)
oclust_0.2.0.tgz(r-4.4-emscripten)oclust_0.2.0.tgz(r-4.3-emscripten)
oclust.pdf |oclust.html✨
oclust/json (API)
| # Install 'oclust' in R: |
| install.packages('oclust', repos = c('https://pmcnichatmcmaster.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 2 years agofrom:d36a4714a7. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | OK | Oct 30 2024 |
| R-4.5-linux | OK | Oct 30 2024 |
| R-4.4-win | OK | Oct 30 2024 |
| R-4.4-mac | OK | Oct 30 2024 |
| R-4.3-win | OK | Oct 30 2024 |
| R-4.3-mac | OK | Oct 30 2024 |
Exports:findGrossOutsminMDMixBetaDensoclustsimOuts
Dependencies:BHdbscanentropygenericslatticeMASSmclustmixturemvtnormRcppRcppArmadilloRcppGSL
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Find Initial Gross Outliers | findGrossOuts |
| Minimum Mahalanobis Distance | minMD |
| Mixture of Beta Functions | MixBetaDens |
| The OCLUST Algorithm | oclust |
| Plots results of the 'oclust' algorithm. | plot.oclust |
| Print oclust | print.oclust |
| Prints the summary of key results for 'oclust' class objects. | print.summary.oclust |
| Simulate Outliers | simOuts |
| Summarizes key results for 'oclust' class objects. | summary.oclust |
