The Pardo test E_{m,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.
If m is not specified it assumes the default value of 2. Note that \(m < (n/2)\) where 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
Pardo, M. C. (2003), A test for uniformity based on informational energy, Statistical Papers, 44, 521--534.
See Uniformity.tests for other goodness-of-fit tests for uniformity.