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 |
| 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 |
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