Package: trend 1.1.6

Thorsten Pohlert

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.

Authors:Thorsten Pohlert [aut, cre]

trend_1.1.6.tar.gz
trend_1.1.6.tar.gz(r-4.7-arm64)trend_1.1.6.tar.gz(r-4.7-x86_64)trend_1.1.6.tar.gz(r-4.6-arm64)trend_1.1.6.tar.gz(r-4.6-x86_64)
trend_1.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
trend/json (API)

# Install 'trend' in R:

install.packages('trend', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

fortran– Runtime library for GNU Fortran applications

Datasets:

hcb - Monthly concentration of particle bound HCB, River Rhine
maxau - Annual suspended sediment concentration and flow data, River Rhine
PagesData - Simulated data of Page (1955) as test-example for change-point detection

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortran

7.55 score 2 stars 12 packages 1.3k scripts 5.3k downloads 7 mentions 18 exports 3 dependencies

Last updated from:24eb79ff1d. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	128
linux-devel-x86_64	OK	115
source / vignettes	OK	182
linux-release-arm64	OK	129
linux-release-x86_64	OK	112
wasm-release	OK	300

Exports:bartels.test br.test bu.test cs.test csmk.test lanzante.test mk.test mult.mk.test partial.cor.trend.test partial.mk.test pettitt.test rrod.test sea.sens.slope sens.slope smk.test snh.test wm.test ww.test

Dependencies:extraDistr Rcpp RcppArmadillo

Trend package

Rendered fromtrend.Rnwusingutils::Sweave

Last update: 2023-10-10
Started: 2015-03-24

Help page	Topics
Bartels Test for Randomness	bartels.test
Buishand Range Test for Change-Point Detection	br.test
Buishand U Test for Change-Point Detection	bu.test
Cox and Stuart Trend Test	cs.test
Correlated Seasonal Mann-Kendall Test	csmk.test
Monthly concentration of particle bound HCB, River Rhine	hcb
Lanzante's Test for Change Point Detection	lanzante.test
Annual suspended sediment concentration and flow data, River Rhine	maxau
Mann-Kendall Trend Test	mk.test
Multivariate (Multisite) Mann-Kendall Test	"Multiside Mann-Kendall mult.mk.test Test"
Simulated data of Page (1955) as test-example for change-point detection	PagesData
Partial Correlation Trend Test	partial.cor.trend.test
Partial Mann-Kendall Trend Test	partial.mk.test
Pettitt's Test for Change-Point Detection	pettitt.test
Plotting cptest-objects	plot.cptest
Robust Rank-Order Distributional Test	rrod.test rrod.test.default rrod.test.formula
Seasonal Sen's Slope	sea.sens.slope
Sen's slope	sens.slope
Seasonal Mann-Kendall Trend Test	Hirsch-Slack-Test smk.test
Standard Normal Homogeinity Test (SNHT) for Change-Point Detection	snh.test
Object summaries	summary.smktest
Wallis and Moore Phase-Frequency Test	wm.test
Wald-Wolfowitz Test for Independence and Stationarity	ww.test

Package: trend 1.1.6

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

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)