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testCompareR: Comparing Two Diagnostic Tests with Dichotomous Results using Paired Data

Provides a method for comparing the results of two binary diagnostic tests using paired data. Users can rapidly perform descriptive and inferential statistics in a single function call. Options permit users to select which parameters they are interested in comparing and methods for correction for multiple comparisons. Confidence intervals are calculated using the methods with the best coverage. Hypothesis tests use the methods with the best asymptotic performance. A summary of the methods is available in Roldán-Nofuentes (2020) <doi:10.1186/s12874-020-00988-y>. This package is targeted at clinical researchers who want to rapidly and effectively compare results from binary diagnostic tests.

Version: 1.1.1
Depends: R (≥ 2.10)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-11-20
DOI: 10.32614/CRAN.package.testCompareR
Author: Kyle J. Wilson ORCID iD [cre, aut], Marc Henrion ORCID iD [aut], José Antonio Roldán Nofuentes ORCID iD [aut]
Maintainer: Kyle J. Wilson <kyle.jordan.wilson at googlemail.com>
BugReports: https://github.com/Kajlinko/testCompareR/issues
License: GPL-3
URL: https://kajlinko.github.io/testCompareR/, https://github.com/Kajlinko/testCompareR
NeedsCompilation: no
Citation: testCompareR citation info
Materials: README NEWS
CRAN checks: testCompareR results

Documentation:

Reference manual: testCompareR.pdf
Vignettes: using_testCompareR (source, R code)

Downloads:

Package source: testCompareR_1.1.1.tar.gz
Windows binaries: r-devel: testCompareR_1.1.1.zip, r-release: testCompareR_1.1.1.zip, r-oldrel: testCompareR_1.1.1.zip
macOS binaries: r-release (arm64): testCompareR_1.1.1.tgz, r-oldrel (arm64): testCompareR_1.1.1.tgz, r-release (x86_64): testCompareR_1.1.1.tgz, r-oldrel (x86_64): testCompareR_1.1.1.tgz
Old sources: testCompareR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=testCompareR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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