DTComPair-package |
Comparison of Binary Diagnostic Tests in a Paired Study Design |
acc.1test |
Accuracy of a Single Binary Diagnostic Test |
acc.paired |
Accuracy of Two Binary Diagnostic Tests in a Paired Study Design |
DLR |
Estimating the Capacity for Improvement in Diagnostic Risk Prediction with an additional marker based on the Diagnostic Likelihood Ratio (DLR) |
dlr.regtest |
Differences in Diagnostic Likelihood Ratios |
DTComPair |
Comparison of Binary Diagnostic Tests in a Paired Study Design |
ellipse.pv.rpv |
Elliptical joint confidence region for relative positive and negative predictive value |
generate.paired |
Generate Dataset from "tab.paired"-Object |
Paired1 |
DTComPair-dataset 1 |
print.acc.1test |
Print "acc.1test"-Object |
print.acc.paired |
Print "acc.paired"-Object |
print.tab.1test |
Print "tab.1test"-Object |
print.tab.paired |
Print "tab.paired"-Object |
pv.gs |
Generalized Score Statistic for Comparison of Predictive Values |
pv.prev |
Compute predictive values for theoretical prevalences |
pv.rpv |
Comparison of Predictive Values using Relative Predictive Values |
pv.wgs |
Weighted Generalized Score Statistic for Comparison of Predictive Values |
read.tab.1test |
Read in "tab.1test"-Objects |
read.tab.paired |
Read in "tab.paired"-Objects |
represent.long |
Long Representation of Results from Two Binary Diagnostic Tests |
sesp.diff.ci |
Confidence Intervals for Differences in Sensitivity and Specificity |
sesp.exactbinom |
Exact Binomial Test for Differences in Sensitivity and Specificity |
sesp.gen.mcnemar |
Generalized McNemar's test |
sesp.mcnemar |
McNemar Test for Comparison of Sensitivities and Specificities |
sesp.rel |
Comparison of the accuracy of two tests using relative sensitivity and specificity |
tab.1test |
Tabulate Single Binary Diagnostic Test vs. Gold-Standard |
tab.paired |
Tabulate Results from Two Binary Diagnostic Tests in a Paired Study Design |
tpffpf.rel |
Comparison of the accuracy of two tests using relative true positive and false positive fraction |