The 1st Meintanis test T_{n,a}^{(1)} with maximum likelihood estimators test for the Laplace distribution 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 a is not specified it assumes the default value of 2.
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
Meintanis, S.G. (2004), A Class of Omnibus Tests for the Laplace Distribution Based on the Empirical Characteristic Function, Communications in Statistics - Theory and Methods, 33(4), 925--948.
See Laplace.tests for other goodness-of-fit tests for the Laplace distribution.