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:	1.1.4
Depends:	R (≥ 3.0)
Imports:	extraDistr (≥ 1.8.0)
Suggests:	strucchange, Kendall, psych
Published:	2020-09-17
Author:	Thorsten Pohlert [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_1.1.4.tar.gz
Windows binaries:	r-devel: trend_1.1.4.zip, r-release: trend_1.1.4.zip, r-oldrel: trend_1.1.4.zip
macOS binaries:	r-release (arm64): trend_1.1.4.tgz, r-oldrel (arm64): trend_1.1.4.tgz, r-release (x86_64): trend_1.1.4.tgz, r-oldrel (x86_64): trend_1.1.4.tgz
Old sources:	trend archive

Reverse dependencies:

Reverse imports:

cmsafops, foster, grwat, sta, TimeSeries.OBeu

Linking:

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