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DeBoinR  

Box-Plots and Outlier Detection for Probability Density Functions
View on CRAN: Click here


Download and install DeBoinR package within the R console
Install from CRAN:
install.packages("DeBoinR")

Install from Github:
library("remotes")
install_github("cran/DeBoinR")

Install by package version:
library("remotes")
install_version("DeBoinR", "1.0")



Attach the package and use:
library("DeBoinR")
Maintained by
Alexander C. Murph
[Scholar Profile | Author Map]
First Published: 2023-12-19
Latest Update: 2023-12-19
Description:
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." .
How to cite:
Alexander C. Murph (2023). DeBoinR: Box-Plots and Outlier Detection for Probability Density Functions. R package version 1.0, https://cran.r-project.org/web/packages/DeBoinR. Accessed 03 Apr. 2025.
Previous versions and publish date:
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Complete documentation for DeBoinR
Functions, R codes and Examples using the DeBoinR R package
Full DeBoinR package functions and examples
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