Allows one to compute consonance (confidence) intervals for various statistical tests along with their corresponding P-values, S-values, and likelihoods. The intervals can be plotted to create consonance, surprisal, and likelihood functions allowing one to see what effect sizes are compatible with the test model at various consonance levels rather than being limited to one interval estimate such as 95%. These methods are discussed by Poole C. (1987) <doi:10.2105/AJPH.77.2.195>, Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>, Singh K, Xie M, Strawderman WE. (2007) <arXiv:0708.0976>, Rothman KJ, Greenland S, Lash TL. (2008, ISBN:9781451190052), Amrhein V, Trafimow D, Greenland S. (2019) <doi:10.1080/00031305.2018.1543137>, Greenland S. (2019) <doi:10.1080/00031305.2018.1529625>, Chow ZR, Greenland S. (2019) <arXiv:1909.08579>, and Greenland S, Chow ZR. (2019) <arXiv:1909.08583>.
|Author||Zad R. Chow [aut, cre] (<https://orcid.org/0000-0003-1545-8199>), Andrew D. Vigotsky [aut] (<https://orcid.org/0000-0003-3166-0688>)|
|Maintainer||Zad R. Chow <[email protected]>|
|License||GPL-3 | file LICENSE|
|URL||https://data.lesslikely.com/concurve/ https://github.com/zadchow/concurve https://lesslikely.com/|
|Package repository||View on CRAN|
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