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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: 1.1.6
Depends: R (≥ 3.0)
Imports: extraDistr (≥ 1.8.0)
Suggests: strucchange, Kendall, psych, datasets
Published: 2023-10-10
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

Documentation:

Reference manual: trend.pdf
Vignettes: Trend package

Downloads:

Package source: trend_1.1.6.tar.gz
Windows binaries: r-devel: trend_1.1.6.zip, r-release: trend_1.1.6.zip, r-oldrel: trend_1.1.6.zip
macOS binaries: r-release (arm64): trend_1.1.6.tgz, r-oldrel (arm64): trend_1.1.6.tgz, r-release (x86_64): trend_1.1.6.tgz, r-oldrel (x86_64): trend_1.1.6.tgz
Old sources: trend archive

Reverse dependencies:

Reverse imports: cmsafops, grwat, MCTrend, sta
Reverse suggests: rasterList

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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