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OutliersLearn  

Educational Outlier Package with Common Outlier Detection Algorithms
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OutliersLearn", "1.0.0")



Attach the package and use:
library("OutliersLearn")
Maintained by
Andres Missiego Manjon
[Scholar Profile | Author Map]
First Published: 2024-06-05
Latest Update: 2024-06-05
Description:
Provides implementations of some of the most important outlier detection algorithms. Includes a tutorial mode option that shows a description of each algorithm and provides a step-by-step execution explanation of how it identifies outliers from the given data with the specified input parameters. References include the works of Azzedine Boukerche, Lining Zheng, and Omar Alfandi (2020) <doi:10.1145/3381028>, Abir Smiti (2020) <doi:10.1016/j.cosrev.2020.100306>, and Xiaogang Su, Chih-Ling Tsai (2011) <doi:10.1002/widm.19>.
How to cite:
Andres Missiego Manjon (2024). OutliersLearn: Educational Outlier Package with Common Outlier Detection Algorithms. R package version 1.0.0, https://cran.r-project.org/web/packages/OutliersLearn. Accessed 17 Feb. 2025.
Previous versions and publish date:
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Complete documentation for OutliersLearn
Functions, R codes and Examples using the OutliersLearn R package
Full OutliersLearn package functions and examples
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