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probout  

Unsupervised Multivariate Outlier Probabilities for Large Datasets
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("probout", "1.1.2")



Attach the package and use:
library("probout")
Maintained by
Chris Fraley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-06
Latest Update: 2022-02-11
Description:
Estimates unsupervised outlier probabilities for multivariate numeric data with many observations from a nonparametric outlier statistic.
How to cite:
Chris Fraley (2017). probout: Unsupervised Multivariate Outlier Probabilities for Large Datasets. R package version 1.1.2, https://cran.r-project.org/web/packages/probout. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2017-11-06 17:43), 1.1.1 (2018-01-05 18:41)
Other packages that cited probout R package
View probout citation profile
Other R packages that probout depends, imports, suggests or enhances
Complete documentation for probout
Functions, R codes and Examples using the probout R package
Some associated functions: LWradius . OutlierStatistic . allProb . leader . logdens . partProb . simData . 
Some associated R codes: LWradius.R . OutlierStatistic.R . allProb.R . leader.R . logdens.R . partProb.R . simData.R .  Full probout package functions and examples
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