podc: Partial ODC Estimation and Inference

Description

Estimate and infer the area of region under ODC curve with pre-specific FNR constraint (FNR-pODC). See http://www3.stat.sinica.edu.tw/statistica/j27n1/j27n117/j27n117.html for details.

Usage

podc(response, predictor, threshold = 0.9, method = "MW", ci = TRUE,
  cp = 0.95, smooth = FALSE)

Arguments

response

a factor, numeric or character vector of responses; typically encoded with 0 (negative) and 1 (positive). Only two classes can be used in a ROC curve. If its levels are not 0/1, the first level will be defaultly regarded as negative.

predictor

a numeric vector of the same length than response, containing the predicted value of each observation. An ordered factor is coerced to a numeric.

threshold

numeric; false negative rate (FNR) constraint.

method

methods to estimate FNR-pODC. MW: Mann-Whitney statistic. expect: method in (2.2) http://www.ncbi.nlm.nih.gov/pubmed/20729218. jackknife: jackknife method in http://www3.stat.sinica.edu.tw/statistica/j27n1/j27n117/j27n117.html.

logic; compute the confidence interval of estimation?

numeric; coverage probability of confidence interval.

smooth

if TRUE, the ODC curve is passed to smooth to be smoothed.

Value

Estimation and Inference of FNR partial ODC.

Details

This function estimates and infers FNR partial ODC given response, predictor and pre-specific FNR constraint. MW: Mann-Whitney statistic. expect: method in http://www3.stat.sinica.edu.tw/statistica/j27n1/j27n117/j27n117.html adapted from http://www.ncbi.nlm.nih.gov/pubmed/20729218. jackknife: jackknife method in http://www3.stat.sinica.edu.tw/statistica/j27n1/j27n117/j27n117.html.

Examples

Run this code


library('pROC')
data(aSAH)
podc(aSAH$outcome, aSAH$s100b,threshold=0.9, method='expect',ci=TRUE, cp=0.95 )