MOVERR: MOVER-R method by Donner and Zhou (2012)

In pairwiseCI: Confidence Intervals for Two Sample Comparisons

Description

Compute confidence intervals for the ratio (theta1/theta0) of two parameters based on point estimates and confidence intervals for the two parameters, theta1 and theta0.

Usage

MOVERR(theta0, ci0, theta1, ci1, alternative = "two.sided")

Arguments

theta0	a single numeric vale, the point estimate for the parameter to appear in the denominator
ci0	vector with two numeric values, the lower and upper confidence limits for the parameter to appear in the denominator
theta1	a single numeric vale, the point estimate for the parameter to appear in the numerator
ci1	vector with two numeric values, the lower and upper confidence limits for the parameter to appear in the numerator
alternative	a character string, "two.sided" for two-sided intervals, "less" for upper limits, "greater" for lower limits only

Details

This function implements Eq. (9) in Donner and Zou (2012), for computing confidence intervals for a ratio of two parameters, when their estimators are uncorrelated.

Value

a list with elements

conf.int	numeric, the lower and upper confidence limits for the ratio
estimate	the point estimate for the ratio

and the input estimates and confidence limits

Author(s)

Frank Schaarschmidt

References

Donner and Zou (2012): Closed-form confidence intervals for functions of the normal mean and standard deviation. Statistical Methods in Medical Research 21(4):347-359.

pairwiseCI documentation built on May 1, 2019, 6:51 p.m.