The D'Agostino-Pearson 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.
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
D'Agostino, R.B. and Pearson, E.S (1973), Tests for Departure from Normality. Empirical Results for the Distributions of b2 and \(\sqrt b1\), Biometrika, 60(3), 613--622.
See Normality.tests for other goodness-of-fit tests for normality.