cade_outlier: Get outliers using Classifier-Adjusted Density Estimation...

In zbeaver4/beavR: Useful and Reusable R Functions from Past Projects

Description

Given a data.frame with a set of observations, determines which observations are likely to be outliers using CADE.

Usage

cade_outlier(df, prop = 1, skip = c(), range = seq(0.3, 0.7, 0.1), ...)

Arguments

df:	input data.frame
prop:	proportion of fake to real data
skip:	which columns the algorithm should skip
range:	range of cutoffs to try with cade and push to the user

zbeaver4/beavR documentation built on May 4, 2019, 9:12 p.m.