Non-Parametric Trend Tests and Change-Point Detection R package trend version 1.1.7 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) The analysis of environmental data often requires the detection of trends and change-points. This package includes tests for trend detection (Cox-Stuart Trend Test, Mann-Kendall Trend Test, (correlated) Hirsch-Slack Test, partial Mann-Kendall Trend Test, multivariate (multisite) Mann-Kendall Trend Test, (Seasonal) Sen's slope, partial Pearson and Spearman correlation trend test), change-point detection (Lanzante's test procedures, Pettitt's test, Buishand Range Test, Buishand U Test, Standard Normal Homogeinity Test), detection of non-randomness (Wallis-Moore Phase Frequency Test, Bartels rank von Neumann's ratio test, Wald-Wolfowitz Test) and the two sample Robust Rank-Order Distributional Test. Software Depends: R (>= 3.0) Imports: extraDistr (>= 1.8.0) Suggests: strucchange, Kendall, psych, datasets Thorsten Pohlert <thorsten.pohlert@gmx.de> Comprehensive R Archive Network (CRAN) Thorsten Pohlert [aut, cre] (ORCID: <https://orcid.org/0000-0003-3855-3025>) GPL-3 2026-07-14 application/tgz https://CRAN.R-project.org/package=trend doi:10.32614/CRAN.package.trend