Samples from different H relative to H1, given alpha, and Nest d

sumLR(Nsample, alpha, effectSize, pow, samp)

Arguments

Nsample: It can be fixed or given by the user
alpha: level of significance (α = probability of type I error)
effectSize: the hypothesized effect size
pow: the desired power (1−β)
samp: The output of samplesH1 function

Value

The proportions of simulated t-values for the RSP methodology Here, the Wald-criterion (1−β)/α is applied for interpreting the obtained likelihood ratios

Examples

if (FALSE) {
sumLR(Nsample = 100, alpha = 0.05, effectSize = 0.2, pow = 0.95, samp = samplesH1)
}