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.

Getting started

Package details

AuthorDaria Suraeva [aut, cre]
MaintainerDaria Suraeva <dariastime@gmail.com>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("nonparTrendR")

Try the nonparTrendR package in your browser

Any scripts or data that you put into this service are public.

nonparTrendR documentation built on Aug. 8, 2025, 7:24 p.m.