simOuts: Simulate Outliers

In oclust: Gaussian Model-Based Clustering with Outliers

Simulate Outliers

Description

simOuts generates uniform outliers in each dimension in (min- 2.range, max+ 2.range)

Usage

simOuts(data, alpha, seed = 123)

Arguments

data	The data in data frame form
alpha	The proportion of outliers to add in terms of the original data size
seed	Set the seed for reproducibility

Value

simOuts returns a data frame with the generated outliers appended to the original data.

oclust documentation built on Dec. 28, 2022, 2 a.m.