update: Update cut-off values for scoring algorithm by controlling...

In sooheang/OutlierDC: Outlier Detection for Censored Data

Description

This function updates a cut-off values for scoring algorithm by controlling the absolute value of upper and lower fences, or the significane level alpha for Jackknife-after-Bootstrapping (JaB) distribution. Using the call stored in the object, the update function declares outlying observatoins based on the QQ plot. alpha is used to control the significant level of the JaB distribution, and ks and LB are used to set the upper and lower fences, respectively.

Usage

    ## S4 method for signature 'OutlierDC'
update(object, alpha = 0.01, ks = NA, LB = NA)

Arguments

object	fitted model object of class OutlierDC.
alpha	significant level for the Jackknife-after-Bootstrap resamplings. This arguments is only VALID after running a JaB() function.
ks	cut-off value for the upper fence.
LB	cut-off value for the lower fence.

Details

This function is a generic function called update for the S4 class OutlierDC. Cut-off bounds are added to find outliers on the QQ plot.

See Also

odc and OutlierDC class

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