nonparTrendR: A Nonparametric Trend Test for Independent and Dependent Samples

Implements the nonparametric trend test for one or several samples as proposed by Bathke (2009) <doi:10.1007/s00184-008-0171-x>. The method provides a unified framework for analyzing trends in both independent and dependent data samples, making it a versatile tool for various study designs. The package allows for the evaluation of different trend alternatives, including two-sided (general trend), monotonic increasing, and monotonic decreasing trends. As a nonparametric procedure, it does not require the assumption of data normality, offering a robust alternative to parametric tests.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: stats
Suggests: testthat
Published: 2025-07-22
DOI: 10.32614/CRAN.package.nonparTrendR
Author: Daria Suraeva [aut, cre]
Maintainer: Daria Suraeva <dariastime at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: nonparTrendR results

Documentation:

Reference manual: nonparTrendR.html , nonparTrendR.pdf

Downloads:

Package source: nonparTrendR_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: nonparTrendR_0.1.0.zip, r-oldrel: nonparTrendR_0.1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): nonparTrendR_0.1.0.tgz, r-oldrel (x86_64): nonparTrendR_0.1.0.tgz

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