pinpoint: Determine Identified Influential Cases

In BoShiangKe/InfluenceAUC: Identify Influential Observations in Binary Classification

Determine Identified Influential Cases

Description

Provide either mutually identified influential cases through IAUC and LAUC or compare with cumulative lift charts to determine which theoretical approach is more appropriate.

Usage

pinpoint(inf_list, local_list)

Arguments

inf_list	An IAUC class object
local_list	An LAUC class object

References

Ke, B. S., Chiang, A. J., & Chang, Y. C. I. (2018). Influence Analysis for the Area Under the Receiver Operating Characteristic Curve. Journal of biopharmaceutical statistics, 28(4), 722-734.

See Also

IAUC LAUC

Examples

library(ROCR)
data("ROCR.simple")
Ioutput <- IAUC(ROCR.simple$predictions, ROCR.simple$labels)
Loutput <- LAUC(ROCR.simple$predictions, ROCR.simple$labels)
pinpoint(Ioutput, Loutput)

BoShiangKe/InfluenceAUC documentation built on Nov. 4, 2024, 2:48 a.m.