Of limited interest to most users, this function is sometimes called by senmv. The function calculates the large sample approximation to a rank score transformation in Lemma 1, expression (9) of Rosenbaum (2011).
Usage
multrnks(rk, m1 = 2, m2 = 2, m = 2)
Arguments
rk
A vector of ranks that may include average ranks for ties.
m1
One of three rank score parameters in Rosenbaum (2011), specifically m1 = underline(m).
m2
One of three rank score parameters in Rosenbaum (2011), specifically m2 = overline(m).
m
One of three rank score parameters in Rosenbaum (2011), specifically m = m.
Value
Vector of length(rk) containing the scores for the ranks in rk.
References
Rosenbaum, P. R. (2011) A new u-statistic with superior design sensitivity in matched observational studies. Biometrics 67, 1017-1027.