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outqrf  

Find the Outlier by Quantile Random Forests
View on CRAN: Click here


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

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

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



Attach the package and use:
library("outqrf")
Maintained by
Tengfei Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-10
Latest Update:
Description:
Provides a method to find the outlier in custom data by quantile random forests method. Introduced by Meinshausen Nicolai (2006) <https://dl.acm.org/doi/10.5555/1248547.1248582>. It directly calls the ranger() function of the 'ranger' package to perform data fitting and prediction. We also implement the evaluation of outlier prediction results. Compared with random forest detection of outliers, this method has higher accuracy and stability on large datasets.
How to cite:
Tengfei Xu (2024). outqrf: Find the Outlier by Quantile Random Forests. R package version 1.0.0, https://cran.r-project.org/web/packages/outqrf. Accessed 15 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:38), 1.0.0 (2024-09-10 11:10)
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Complete documentation for outqrf
Functions, R codes and Examples using the outqrf R package
Full outqrf package functions and examples
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