Box-Plots and Outlier Detection for Probability Density Functions
Overview
Orders a data-set consisting of an ensemble of probability density functions on the same x-grid. Visualizes a box-plot of these functions based on the notion of distance determined by the user. Reports outliers based on the distance chosen and the scaling factor for an interquartile range rule. For further details, see: Alexander C. Murph et al. (2023). "Visualization and Outlier Detection for Probability Density Function Ensembles." https://sirmurphalot.github.io/publications.
Install
Health
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage: ‘print.DeBoinR.Rd’ \arguments should not be documented without \usage.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 1 NOTE2026-07-11
- OK14 OK2026-03-10
Documentation
- Help pages
- 3
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 88%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0Latest2023-12-19 · current release
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-12-19
- Total releases
- 1 / 3 yrs
- License
- MIT + file LICENSE OSI
- Copyright
- See COPYRIGHT in the package
- Minimum R
- ≥ 3.5.0
- Bundled data
- 335 KB / 2 files
- Download size
- 515 KB
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