This function modifies the multrnks function in the sensitivitymw package by also providing the exact scores. The scores are also normalized so that the maximum is 1.
Usage
multrnks(rk, mm, score.method = c("approximate", "exact"))
Arguments
rk
a vector of ranks
mm
a vector (m, munder, mover) or a matrix, each column a vector (m, munder, mover) that indicates the U-statistic.s NULL means Wilcoxon's signed rank test.
score.method
either approximate score or exact score
Details
Exact and approximate rank scores yield similar bounds on P-values when sample size is large.
The exact rank scores involve very large combinatorial coefficiences when the same size is very large, whereas the nearly equivalent approximate scores do not.