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tnl.Test: Non-Parametric Tests for the Two-Sample Problem

Performing the hypothesis tests for the two sample problem based on order statistics and power comparisons. Calculate the test statistic, density, distribution function, quantile function, random number generation and others.

Version: 0.1.0
Imports: partitions, plyr
Suggests: covr, knitr, rmarkdown, roxygen2, testthat (≥ 3.0.0)
Published: 2023-12-12
Author: Ihab Abusaif [cre, aut] (https://www.researchgate.net/profile/Ihab-Abusaif), Sümeyra Sert [aut] (https://www.researchgate.net/profile/Suemeyra-Sert), Coşkun Kuş [aut] (https://www.researchgate.net/profile/Coskun-Kus), Kadir Karakaya [aut] (https://www.researchgate.net/profile/Kadir-Karakaya-2), Hon Keung Tony Ng [aut], Haikady N. Nagaraja [aut]
Maintainer: Ihab Abusaif <censtat at gmail.com>
BugReports: https://github.com/ihababusaif/tnl.Test/issues
License: GPL-3
URL: https://github.com/ihababusaif/tnl.Test
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tnl.Test results

Documentation:

Reference manual: tnl.Test.pdf
Vignettes: tnl_Test

Downloads:

Package source: tnl.Test_0.1.0.tar.gz
Windows binaries: r-devel: tnl.Test_0.1.0.zip, r-release: tnl.Test_0.1.0.zip, r-oldrel: tnl.Test_0.1.0.zip
macOS binaries: r-release (arm64): tnl.Test_0.1.0.tgz, r-oldrel (arm64): tnl.Test_0.1.0.tgz, r-release (x86_64): tnl.Test_0.1.0.tgz, r-oldrel (x86_64): tnl.Test_0.1.0.tgz

Linking:

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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.