HoggAdapt: Adaptive Choice of Rank-Based Test Statistic
In NPC: Nonparametric Combination of Hypothesis Tests

Description Usage Arguments Value Author(s) References See Also

Implements the recommendations of Hogg et al. (1975) for data-driven selection of rank-based permutation test statistics. It is designed to select a powerful test statistic given the tailweight and skew of the distribution of y. Best used for continuous distributions that differ in location only (i.e., under a constant treatment effect assumption).

1	HoggAdapt(y)

`y`	response variable (numeric vector)

fun, a function designed to be used by the function NPC

Devin Caughey <devin.caughey@gmail.com>

Hogg, Robert V., Doris M. Fisher, and Ronald H. Randles. 1975. “A Two-Sample Adaptive Distribution-Free Test.” Journal of the American Statistical Association 70 (351): 656–661.

NPC

NPC documentation built on May 2, 2019, 5:07 a.m.