tests/testthat/test_weight_binary.R

In OPWeight: Optimal p-value weighting with independent information

# function to compute weight binary case
#--------------------------------------
weight_binary <- function(alpha, et, m, m1, tail = 1L, delInterval = .0001, ranksProb)
{
    prob <- ranksProb/sum(ranksProb, na.rm = T)
    delta <- seq(0, 1, delInterval)

    weightSumVec <- sapply(delta, weight_by_delta, alpha = alpha, et = et, m = m,
                           m1 = m1, tail = tail, ranksProb = prob,
                           effectType = "binary")

    deltaOut <- delta[min(abs(weightSumVec - m)) == abs(weightSumVec - m)]
    deltaOut <- ifelse(length(deltaOut) > 1, .0001, deltaOut)
    weight.out <- tail*(m/alpha)*pnorm(et/2 + 1/et*log(deltaOut*m/(alpha*m1*prob)),
                                       lower.tail = FALSE)
    sumWeight <- sum(weight.out, na.rm = TRUE)
    normWeight <- if(sumWeight == 0) {rep(1, m)} else {weight.out/sumWeight*m}
    return(normWeight)
}