The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
trend: Non-Parametric Trend Tests and Change-Point Detection
Open accessAbstract
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.
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Performance of partial Mann–Kendall tests for trend detection in the presence of covariates
Libiseller, C., & Grimvall, A. (2002) · Environmetrics · doi:10.1002/env.507 · Cited by 461
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Effect of climatic variability on malaria trends in Baringo County, Kenya
Kipruto, E. K., Ochieng, A. O., Anyona, D. N., Mbalanya, M., Mutua, E. N., Onguru, D., Nyamongo, I. K., & Estambale, B. B. A. (2017) · Malaria Journal · doi:10.1186/s12936-017-1848-2 · Cited by 61
Metadata
- Authors
- Pohlert, T.
- Venue
- CRAN: Contributed Packages
- Publisher
- The R Foundation
- Published
- 2015-03-24
- OpenAlex
- W4399578142
- Cited by
- 294
- References
- 1
- Type
- dataset
- Language
- en
- Open access
- gold
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