# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "nonparTrendR" in publications use:' type: software license: MIT title: 'nonparTrendR: A Nonparametric Trend Test for Independent and Dependent Samples' version: 0.1.0 doi: 10.32614/CRAN.package.nonparTrendR abstract: Implements the nonparametric trend test for one or several samples as proposed by Bathke (2009) . 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. authors: - family-names: Suraeva given-names: Daria email: dariastime@gmail.com repository: https://dariasur.r-universe.dev commit: e20472a0abf08e5c785be7438bc7c45bb66aa9ba date-released: '2025-07-22' contact: - family-names: Suraeva given-names: Daria email: dariastime@gmail.com