multrnks {sensitivitymv}

Approximate scores for ranks.

Description

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.

Author(s)

Paul R. Rosenbaum

References

Rosenbaum, P. R. (2011) A new u-statistic with superior design sensitivity in matched observational studies. Biometrics 67, 1017-1027.

Examples

	multrnks(1:10)
	multrnks(1:10,m1=12,m2=20,m=20)