stat0035.DesgagneLafayeDeMicheauxLeblanc-Rn: The R_n test for normality
In PoweR: Computation of Power and Level Tables for Hypothesis Tests

Description Author(s) References See Also

The Desgagne-LafayeDeMicheaux-Leblanc R_n test for normality 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.

P. Lafaye de Micheaux, V. A. Tran

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

Desgagne, A., Lafaye de Micheaux, P. and Leblanc, A. (2013), Test of Normality Against Generalized Exponential Power Alternatives, Communications in Statistics - Theory and Methods, 42, 164–190.

See Normality.tests for other goodness-of-fit tests for normality.

PoweR documentation built on May 2, 2019, 2:09 p.m.