README.md

In albagc/SCOUTerRpack: Simulate Controlled Outliers

Simulate Controlled OUTliers - SCOUTer

(R version) SCOUTer is a set of functions that open the door towards a new way of simulating outliers. Using Principal Component Analysis (PCA) as a base model, SCOUTer enables the user to control exactly how the simulated outliers will be.

This is possible by controlling the pair of properties that define outliers: the Squared Prediction Error (SPE) and the Hotelling's T^2. By setting the desired target values to these statistics, the user can obtain all types of outliers.

Control your simulations with SCOUTer in an easy and interactive way.

!!Important: This github repo contains an unstable version updated regularly. For the stable and CRAN approved version, check: https://cran.r-project.org/web/packages/SCOUTer/index.html

Enjoy!

albagc/SCOUTerRpack documentation built on Dec. 19, 2021, 12:23 a.m.