computePowerBySampleSize: Compute the Power Over a Grid of Sample Size Values

In smartsizer: Power Analysis for a SMART Design

Description

Computes the power over a grid of sample size values.

Usage

computePowerBySampleSize(V, Delta, min_Delta, alpha = 0.05, sample_size_grid)

Arguments

V	The covariance matrix of mean EDTR estimators.
Delta	The vector of effect sizes with a zero indicating the best EDTR.
min_Delta	The minimum desired detectable effect size.
alpha	The Type I error rate for not including the true best EDTR.
sample_size_grid	The vector of sample sizes

Details

It employs common random variables to reduce the variance. See computePower for more details.

Value

A vector of power for each sample size in the given grid.

See Also

computePower

Examples

  
  V <- rbind(c(1, 0.3, 0.3, 0.3),
             c(0.3, 1, 0.3, 0.3),
             c(0.3, 0.3, 1, 0.3),
             c(0.3, 0.3, 0.3, 1))
  computePowerBySampleSize(V,
                           Delta = c(0, 0.2, 0.6, 0.3),
                           min_Delta = 0.3,
                           sample_size_grid = seq(50,300, 50))
  

smartsizer documentation built on Jan. 6, 2021, 9:08 a.m.