Package: tnl.Test 0.1.0

Ihab Abusaif

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.

Authors:Ihab Abusaif [cre, aut], Sümeyra Sert [aut], Coşkun Kuş [aut], Kadir Karakaya [aut], Hon Keung Tony Ng [aut], Haikady N. Nagaraja [aut]

tnl.Test_0.1.0.tar.gz
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tnl.Test_0.1.0.tgz(r-4.6-any)tnl.Test_0.1.0.tgz(r-4.5-any)
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tnl.Test_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
tnl.Test/json (API)
NEWS

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

Bug tracker:https://github.com/ihababusaif/tnl.test/issues

On CRAN:

Conda:

archivedpackagesr-universe

3.40 score 5 stars 2 scripts 140 downloads 10 exports 8 dependencies

Last updated from:0a597972b6 (on package/tnl.Test). Checks:7 ERROR, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR199
source / vignettesOK171
linux-release-x86_64ERROR214
macos-release-arm64ERROR174
macos-oldrel-arm64ERROR193
windows-develERROR157
windows-releaseERROR161
windows-oldrelERROR182
wasm-releaseOK112

Exports:dtnldtnl.lehmannptnlptnl.lehmannqtnlqtnl.lehmannrtnlrtnl.lehmanntnl_meantnl.test

Dependencies:gmppartitionsplyrpolynomrbibutilsRcppRdpacksets

tnl_Test

Rendered fromtnl_Test.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2026-06-11
Started: 2026-06-11

Readme and manuals

Help Manual

Help pageTopics
Non-parametric tests for the two-sample problem based on order statistics and power comparisonsdtnl dtnl.lehmann ptnl ptnl.lehmann qtnl qtnl.lehmann rtnl rtnl.lehmann tnl.test tnl_mean