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SCOUTer  

Simulate Controlled Outliers
View on CRAN: Click here


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

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

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



Attach the package and use:
library("SCOUTer")
Maintained by
Alba Gonzalez Cebrian
[Scholar Profile | Author Map]
First Published: 2020-06-30
Latest Update: 2020-06-30
Description:
Using principal component analysis as a base model, 'SCOUTer' offers a new approach to simulate outliers in a simple and precise way. The user can generate new observations defining them by a pair of well-known statistics: the Squared Prediction Error (SPE) and the Hotelling's T^2 (T^2) statistics. Just by introducing the target values of the SPE and T^2, 'SCOUTer' returns a new set of observations with the desired target properties. Authors: Alba Gonz
How to cite:
Alba Gonzalez Cebrian (2020). SCOUTer: Simulate Controlled Outliers. R package version 1.0.0, https://cran.r-project.org/web/packages/SCOUTer. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited SCOUTer R package
View SCOUTer citation profile
Other R packages that SCOUTer depends, imports, suggests or enhances
Complete documentation for SCOUTer
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