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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
 [aut, cre],
Justin D. Strait
[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:
Downloads:
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These binaries (installable software) and packages are in development.
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