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rt.test: Robustified t-Test

Performs one-sample t-test based on robustified statistics using median/MAD (TA) and Hodges-Lehmann/Shamos (TB). For more details, see Park, Wang and Hwang (2022) <doi:10.7232/iems.2022.21.3.432>. This work was partially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (No. 2022R1A2C1091319).

Version: 1.26.9
Depends: R (≥ 3.2.3)
Published: 2026-09-14
DOI: 10.32614/CRAN.package.rt.test
Author: Chanseok Park ORCID iD [aut, cre], Min Wang ORCID iD [ctb]
Maintainer: Chanseok Park <statpnu at gmail.com>
BugReports: https://github.com/AppliedStat/R/issues
License: GPL-2 | GPL-3
URL: https://AppliedStat.GitHub.io/R/
NeedsCompilation: no
Citation: rt.test citation info
Materials: NEWS
CRAN checks: rt.test results

Documentation:

Reference manual: rt.test.html , rt.test.pdf
Vignettes: Robust test statistics (source)

Downloads:

Package source: rt.test_1.26.9.tar.gz
Windows binaries: r-devel: rt.test_1.26.9.zip, r-release: rt.test_1.26.9.zip, r-oldrel: rt.test_1.26.9.zip
macOS binaries: r-release (arm64): rt.test_1.26.9.tgz, r-oldrel (arm64): rt.test_1.26.9.tgz, r-release (x86_64): rt.test_1.26.9.tgz, r-oldrel (x86_64): rt.test_1.26.9.tgz
Old sources: rt.test archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rt.test 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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