prop.paired: Power calculation for McNemar test of two correlated...

In powertools: Power and Sample Size Tools

Power calculation for McNemar test of two correlated proportions

Description

Performs power and sample size calculation for McNemar test of two correlated proportions using normal approximation. Can solve for power, N or alpha.

Usage

prop.paired(
  N = NULL,
  p1 = NULL,
  p2 = NULL,
  phi = NULL,
  paid = NULL,
  dpr = NULL,
  alpha = 0.05,
  power = NULL,
  sides = 2,
  v = FALSE
)

Arguments

N	The sample size; the number of pairs.
p1	The outcome proportion under condition 1.
p2	The outcome proportion under condition 2.
phi	The correlation between the two responses from an individual.
paid	The smaller of the two discordant probabilities. Either p1, p2 and phi, OR paid and dpr must be specified.
dpr	The discordant proportion ratio. Must be greater than or equal to 1. Either p1, p2, and phi, OR paid and dpr must be specified.
alpha	The significance level (type 1 error rate); defaults to 0.05.
power	The specified level of power.
sides	Either 1 or 2 (default) to specify a one- or two- sided hypothesis test.
v	Either TRUE for verbose output or FALSE (default) to output computed argument only.

Details

Either p1, p2 and phi, OR paid and dpr must be specified.

Value

A list of the arguments (including the computed one).

Examples

prop.paired(N = NULL, p1 = 0.8, p2 = 0.9, phi = 0, power = 0.9, sides = 2)
prop.paired(N = NULL, paid = 0.08, dpr = 0.18 / 0.08, power = 0.9, sides = 2)

powertools documentation built on April 4, 2025, 5:02 a.m.