multrnks: Approximate scores for ranks.

In sensitivitymv: Sensitivity Analysis in Observational Studies

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)

sensitivitymv documentation built on May 2, 2019, 2:06 a.m.