Determine Identified Influential Cases

Source: R/reporter.R

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

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)
#> The possible influential cases are
#>  25 29 77 86 93 108 145 178 193 .