screen

fun screen(candidates: List<Solution>): List<Solution>(source)

Subset-selection screen for the minimum (Nelson et al. 2001): returns the candidates that could plausibly be the best at confidence oneMinusAlphaC. A candidate i is retained when its mean is no larger than ḡ_j + t · SE(i,j) for every other candidate j, where SE(i,j) is the independent-sampling standard error of the difference. Valid at any δ_C (screening does not use the indifference zone). With one or zero candidates the input is returned unchanged.