npordtests: An R Package of Nonparametric Tests for Equality of Location Against Ordered Alternatives

Ordered alternatives are an important statistical problem in many situation such as increased risk of congenital malformation caused by excessive alcohol consumption during pregnancy life test experiments, drug-screening studies, dose-finding studies, the dose-response studies, age-related response. There are numerous other examples of this nature. In this paper, we present the npordtests package to test the equality of locations for ordered alternatives. The package includes the Jonckheere Terpstra, Beier and Buning’s Adaptive, Modified Jonckheere-Terpstra, Terpstra-Magel, Ferdhiana Terpstra-Magel, KTP, S and Gaur’s Gc tests. A simulation study is conducted to determine which test is the most appropriate test for which scenario and to suggest it to the researchers.

Bulent Altunkaynak , Hamza Gamgam
2020-09-10

Supplementary materials

Supplementary materials are available in addition to this article. It can be downloaded at RJ-2020-022.zip

CRAN packages used

clinfun, jtGWAS, fastJT, kSamples, StatCharrms, PMCMRplus, npordtests

CRAN Task Views implied by cited packages

ClinicalTrials, Environmetrics, Survival

Reuse

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Citation

For attribution, please cite this work as

Altunkaynak & Gamgam, "npordtests: An R Package of Nonparametric Tests for Equality of Location Against Ordered Alternatives", The R Journal, 2020

BibTeX citation

@article{RJ-2020-022,
  author = {Altunkaynak, Bulent and Gamgam, Hamza},
  title = {npordtests: An R Package of Nonparametric Tests for Equality of Location Against Ordered Alternatives},
  journal = {The R Journal},
  year = {2020},
  note = {https://doi.org/10.32614/RJ-2020-022},
  doi = {10.32614/RJ-2020-022},
  volume = {12},
  issue = {1},
  issn = {2073-4859},
  pages = {147-171}
}