Package: DTComPair 1.2.6

DTComPair: Comparison of Binary Diagnostic Tests in a Paired Study Design

Comparison of the accuracy of two binary diagnostic tests in a "paired" study design, i.e. when each test is applied to each subject in the study.

Authors:Christian Stock [aut, cre], Thomas Hielscher [aut], Andrea Discacciati [aut]

DTComPair_1.2.6.tar.gz
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DTComPair_1.2.6.tgz(r-4.6-any)DTComPair_1.2.6.tgz(r-4.5-any)
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DTComPair_1.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DTComPair/json (API)

# Install 'DTComPair' in R:
install.packages('DTComPair', repos = c('https://chstock.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/chstock/dtcompair/issues

Pkgdown/docs site:https://chstock.github.io

Datasets:

On CRAN:

Conda:

clinical-epidemiologycomparative-analysisdiagnosisdiagnostic-accuracy-studiesdiagnostic-likelihood-ratiodiagnostic-testsmedicinepredictive-valuesensitivityspecificity

4.90 score 3 stars 53 scripts 503 downloads 13 mentions 21 exports 4 dependencies

Last updated from:c0ec3a059a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK152
source / vignettesOK159
linux-releaseOK105
macos-releaseOK131
macos-oldrelOK178
windows-develOK59
windows-releaseOK59
windows-oldrelOK61
wasm-releaseOK84

Exports:acc.1testacc.pairedDLRdlr.regtestellipse.pv.rpvgenerate.pairedpv.gspv.prevpv.rpvpv.wgsread.tab.1testread.tab.pairedrepresent.longsesp.diff.cisesp.exactbinomsesp.gen.mcnemarsesp.mcnemarsesp.reltab.1testtab.pairedtpffpf.rel

Dependencies:assertthatellipsegeePropCIs

Readme and manuals

Help Manual

Help pageTopics
Comparison of Binary Diagnostic Tests in a Paired Study DesignDTComPair-package DTComPair
Accuracy of a Single Binary Diagnostic Testacc.1test
Accuracy of Two Binary Diagnostic Tests in a Paired Study Designacc.paired
Estimating the Capacity for Improvement in Diagnostic Risk Prediction with an additional marker based on the Diagnostic Likelihood Ratio (DLR)DLR
Differences in Diagnostic Likelihood Ratiosdlr.regtest
Elliptical joint confidence region for relative positive and negative predictive valueellipse.pv.rpv
Generate Dataset from "tab.paired"-Objectgenerate.paired
DTComPair-dataset 1Paired1
Print "acc.1test"-Objectprint.acc.1test
Print "acc.paired"-Objectprint.acc.paired
Print "tab.1test"-Objectprint.tab.1test
Print "tab.paired"-Objectprint.tab.paired
Generalized Score Statistic for Comparison of Predictive Valuespv.gs
Compute predictive values for theoretical prevalencespv.prev
Comparison of Predictive Values using Relative Predictive Valuespv.rpv
Weighted Generalized Score Statistic for Comparison of Predictive Valuespv.wgs
Read in "tab.1test"-Objectsread.tab.1test
Read in "tab.paired"-Objectsread.tab.paired
Long Representation of Results from Two Binary Diagnostic Testsrepresent.long
Confidence Intervals for Differences in Sensitivity and Specificitysesp.diff.ci
Exact Binomial Test for Differences in Sensitivity and Specificitysesp.exactbinom
Generalized McNemar's testsesp.gen.mcnemar
McNemar Test for Comparison of Sensitivities and Specificitiessesp.mcnemar
Comparison of the accuracy of two tests using relative sensitivity and specificitysesp.rel
Tabulate Single Binary Diagnostic Test vs. Gold-Standardtab.1test
Tabulate Results from Two Binary Diagnostic Tests in a Paired Study Designtab.paired
Comparison of the accuracy of two tests using relative true positive and false positive fractiontpffpf.rel