trend: Non-Parametric Trend Tests and Change-Point Detection

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.

Version: 1.1.2
Depends: R (≥ 3.0)
Imports: extraDistr (≥ 1.8.0)
Published: 2020-01-13
Author: Thorsten Pohlert ORCID iD [aut, cre]
Maintainer: Thorsten Pohlert <thorsten.pohlert at gmx.de>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
In views: TimeSeries
CRAN checks: trend results

Downloads:

Reference manual: trend.pdf
Vignettes: Trend package
Package source: trend_1.1.2.tar.gz
Windows binaries: r-devel: trend_1.1.2.zip, r-release: trend_1.1.2.zip, r-oldrel: trend_1.1.2.zip
macOS binaries: r-release: trend_1.1.2.tgz, r-oldrel: trend_1.1.2.tgz
Old sources: trend archive

Reverse dependencies:

Reverse imports: TimeSeries.OBeu

Linking:

Please use the canonical form https://CRAN.R-project.org/package=trend to link to this page.