# SCOUTerRpack

## SCOUTer package in R

Simulating anomalous data is an extremely common procedure. However, very little attention is paid to this step and it is usually defined ad hoc, existing a lack of standard. In this package, a new framework to simulate outliers directly controlling their outlying properties has been proposed. This framework offers the possibility of generating data sets with *all type of desired properties*, given that the user can control the pair of statistics that essentially define outliers: the Squared Prediction Error ( *SPE* ) and the Hotelling-T^{2} ( *T*^{2} ). These metrics evaluate in a complementary way how far is an observation from the majority of a data set. Since Given an observation with initial values for the statistics, a PCA model and target values for the statistics, our simulation method drifts the observation in a direction that shifts the initial *SPE* and the *T*^{2} until reaching their target values.