DeBoinR: Box-Plots and Outlier Detection for Probability Density Functions

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>.

Version: 1.0
Depends: R (≥ 3.5.0)
Imports: parallel (≥ 3.6.2), KernSmooth, ggplot2, gridExtra, pracma, stats, dplyr, graphics
Published: 2023-12-19
Author: Alexander C. Murph ORCID iD [aut, cre], Justin D. Strait ORCID iD [aut]
Maintainer: Alexander C. Murph <murph at lanl.gov>
License: MIT + file LICENSE
Copyright: file COPYRIGHT
NeedsCompilation: no
Materials: README
CRAN checks: DeBoinR results

Documentation:

Reference manual: DeBoinR.pdf

Downloads:

Package source: DeBoinR_1.0.tar.gz
Windows binaries: r-devel: DeBoinR_1.0.zip, r-release: DeBoinR_1.0.zip, r-oldrel: DeBoinR_1.0.zip
macOS binaries: r-release (arm64): DeBoinR_1.0.tgz, r-oldrel (arm64): DeBoinR_1.0.tgz, r-release (x86_64): DeBoinR_1.0.tgz

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