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Computes the optimal effect size estimate and credible intervals if needed.
PsiLFC( A, B, prior = EmpiricalBayesPrior(A, B), normalizeFun = CenterMedian, cre = FALSE, verbose = FALSE )
Either a vector containing the estimates, or a data frame containing the credible interval as well
Vector of counts from condition A
Vector of counts from condition B
Vector of length 2 of the prior parameters
Function to normalize the obtained effect sizes
Compute credible intervals as well? (can also be a vector of quantiles)
verbose status updates?
PsiLFC(rnorm(1000,200),rnorm(1000,100))
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