crtPowerSim: Simple cluster randomized trial p-values

In jm3594/crtpower: Power Analysis Functions for Cluster Randomized Trials

Description

Calculates the p-value of a cluster randomized trial by simulation.

Calculates the p-value under the null hypotheses of a cluster randomized trial by simulation.

Usage

crtPowerSim(M = 6, n = 100, vare = 0.95, varb = 0.05, B0 = 0,
  B1 = 0.2)

crtPowerSim(M = 6, n = 100, vare = 0.95, varb = 0.05, B0 = 0,
  B1 = 0.2)

Arguments

M	The total number of clusters. Must be even.
n	The mean cluster size.
vare	The variance of the measurement error.
varb	The variance of the random effects.
B0	The overall intercept.
B1	The standardized treatment effect.
a	The minimum of the uniform distribution used to generate cluster sizes.
M	The total number of clusters. Must be even.
n	The mean cluster size, or a vector of cluster sizes.
vare	The variance of the measurement error.
varb	The variance of the random effects.
B0	The overall intercept.
B1	The treatment effect.

Value

The p-value under the null hypothesis.

The p-value under the null hypothesis.

jm3594/crtpower documentation built on May 19, 2019, 12:48 p.m.