Estimate significance of difference in two AUCs by resampling.

testAUCpair(
  d,
  model1Name,
  model2Name,
  yName,
  yTarget = TRUE,
  ...,
  na.rm = FALSE,
  returnScores = FALSE,
  nrep = 100,
  parallelCluster = NULL
)

Arguments

d

data.frame

model1Name

character model 1 column name

model2Name

character model 2 column name

yName

character outcome column name

yTarget

target to match to y

...

extra arguments (not used)

na.rm

logical, if TRUE remove NA values

returnScores

logical if TRUE return detailed resampledScores

nrep

number of re-sample repetition to estimate p value.

parallelCluster

(optional) a cluster object created by package parallel or package snow

Value

AUC pair test

Examples

set.seed(25325) d <- data.frame(x1=c(1,2,3,4,5,6,7,7), x2=1, y=c(FALSE,TRUE,FALSE,FALSE, TRUE,TRUE,FALSE,TRUE)) testAUCpair(d,'x1','x2','y',TRUE)
#> [1] "AUC test resampled AUC1>AUC2: (AUCs=0.6562;0.5, s.d.=0.2033, e=n.s.)."