jab: Jackknife-after-Bootstrap resampling for scoring algorithm

In sooheang/OutlierDC: Outlier Detection for Censored Data

Description

This function constructs cut-off values for the scoring algorithm using Jankknife-after-Bootstrap resampling.

Usage

 JaB(object, B = 1000, alpha = 0.05, fence = c("UB", "LB", "both"))

Arguments

object	fitted object of class OutlierDC
B	number of Jackknife-after-Bootstrap resamples for the scoring algorithm. The default value is 300
alpha	magnitude of significance
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 JaB provides cut-off values for scoring algorithm using Jackknife-after-Bootstrap resampling techniques.

See Also

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

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