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:
trend_1.1.6.tar.gz
trend_1.1.6.tar.gz(r-4.5-noble)trend_1.1.6.tar.gz(r-4.4-noble)
trend_1.1.6.tgz(r-4.4-emscripten)trend_1.1.6.tgz(r-4.3-emscripten)
trend.pdf |trend.html✨
trend/json (API)
NEWS
# Install 'trend' in R: |
install.packages('trend', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:24eb79ff1d. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 03 2024 |
R-4.5-linux-x86_64 | OK | Dec 03 2024 |
Exports:bartels.testbr.testbu.testcs.testcsmk.testlanzante.testmk.testmult.mk.testpartial.cor.trend.testpartial.mk.testpettitt.testrrod.testsea.sens.slopesens.slopesmk.testsnh.testwm.testww.test
Dependencies:extraDistrRcpp