The Langholz-Kronmal 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.
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
Langholz, B. and Kronmal, R. A. (1991), Tests of distributional hypotheses with nuisance parameters using Fourier series, Journal of the American Statistical Association, 86, 1077--1084.
See Laplace.tests for other goodness-of-fit tests for the Laplace distribution.