bodc: Calculate a distribution-free cut-off value for the scoring...

In sooheang/OutlierDC: Outlier Detection for Censored Data

Description

This function constructs cut-off values for the scoring algorithm using Bootstrap distribution of standard deviation.

Usage

 bodc(object, B = 500, q = 0.05, fence = c("UB", "LB", "both"))

Arguments

object	fitted object of class OutlierDC
B	number of bootstrap resamples for the scoring algorithm. The default value is 500.
q	numeric value of probability with values in [0,1].
fence	a character value to control an outlying fence. three options are provided. The option "UB" provides the upper fence to find an observation who "lived far too long". The option "LB" provides the lower fence to find an observation who "died far too early". The option "both" provides the upper and lower fences simultaneously.

Details

The function bodc provides a distribution-free threshold for scoring algorithm by using the empirical distribution of the standard deviation of outlying scores.

See Also

OutlierDC-package
odc, JaB
coef, plot, show, summary, update

sooheang/OutlierDC documentation built on May 30, 2019, 6:31 a.m.