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 |
| Reference manual: | nonparTrendR.html , nonparTrendR.pdf |
| Package source: | nonparTrendR_0.1.0.tar.gz |
| Windows binaries: | r-devel: nonparTrendR_0.1.0.zip, r-release: nonparTrendR_0.1.0.zip, r-oldrel: nonparTrendR_0.1.0.zip |
| macOS binaries: | r-release (arm64): nonparTrendR_0.1.0.tgz, r-oldrel (arm64): nonparTrendR_0.1.0.tgz, r-release (x86_64): nonparTrendR_0.1.0.tgz, r-oldrel (x86_64): nonparTrendR_0.1.0.tgz |
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