The Kuiper test K_n for uniformity is used
- to compute its statistic and p-value by calling function statcompute;
- to compute its quantiles by calling function compquant or many.crit;
- to compute its power by calling function powcomp.fast or powcomp.easy.
Note that n is the sample size.
Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1--42. doi:10.18637/jss.v069.i03
Brunk, H. D. (1962), On the range of the difference between hypothetical distribution function and Pyke's modified empirical distribution function, Annals of Mathematical Statistics, 33, 525--532.
See Uniformity.tests for other goodness-of-fit tests for uniformity.