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trend  

Non-Parametric Trend Tests and Change-Point Detection
View on CRAN: Click here


Download and install trend package within the R console
Install from CRAN:
install.packages("trend")

Install from Github:
library("remotes")
install_github("cran/trend")

Install by package version:
library("remotes")
install_version("trend", "1.1.6")



Attach the package and use:
library("trend")
Maintained by
Thorsten Pohlert
[Scholar Profile | Author Map]
First Published: 2015-03-24
Latest Update: 2023-10-10
Description:
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.
How to cite:
Thorsten Pohlert (2015). trend: Non-Parametric Trend Tests and Change-Point Detection. R package version 1.1.6, https://cran.r-project.org/web/packages/trend. Accessed 09 May. 2025.
Previous versions and publish date:
0.0.1 (2015-03-24 18:20), 0.0.2 (2015-11-12 13:09), 0.1.0 (2016-01-06 10:01), 0.2.0 (2016-05-14 23:19), 1.0.0 (2017-07-30 17:27), 1.0.1 (2017-11-13 01:05), 1.1.0 (2018-01-03 14:30), 1.1.1 (2018-07-30 19:30), 1.1.2 (2020-01-13 10:40), 1.1.3 (2020-09-01 08:00), 1.1.4 (2020-09-17 21:50), 1.1.5 (2023-03-26 19:20)
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Complete documentation for trend
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