Package: probout 1.1.2
Chris Fraley
probout: Unsupervised Multivariate Outlier Probabilities for Large Datasets
Estimates unsupervised outlier probabilities for multivariate numeric data with many observations from a nonparametric outlier statistic.
Authors:
probout_1.1.2.tar.gz
probout_1.1.2.tar.gz(r-4.5-noble)probout_1.1.2.tar.gz(r-4.4-noble)
probout_1.1.2.tgz(r-4.4-emscripten)probout_1.1.2.tgz(r-4.3-emscripten)
probout.pdf |probout.html✨
probout/json (API)
| # Install 'probout' in R: |
| install.packages('probout', 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 3 years agofrom:b6a31d64aa. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 05 2024 |
| R-4.5-linux-x86_64 | OK | Sep 05 2024 |
Exports:allProbleaderlogdensLWradiusOutlierStatisticpartProbsimData
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Outlier probabilities for all observations | allProb |
| Leader Algorithm for Data Partitioning | leader |
| Log Density for Gaussian Mixture Model | logdens |
| Wilkinson's default leader-partitioning radius | LWradius |
| Nonparametric Outlier Statistic | OutlierStatistic |
| Partition outlier probabilities | partProb |
| Simulates observations for outlier determination. | simData |