Compute efficiency of minimax onesided CIs at constant functions and halflength of Pratt CIs.
1 2  RDTEfficiencyBound(d, M, opt.criterion = "FLCI", alpha = 0.05,
beta = 0.5, se.initial = "IKEHW")

d 
object of class 
M 
Bound on second derivative of the conditional mean function. 
opt.criterion 
Optimality criterion that bandwidth is designed to optimize. It can either be based on exact finitesample maximum bias and finitesample estimate of variance, or asymptotic approximations to the bias and variance. The options are:
The finitesample methods use conditional variance given by

alpha 
determines confidence level, 
beta 
Determines quantile of excess length to optimize, if bandwidth optimizes given quantile of excess length of onesided confidence intervals. 
se.initial 
Method for estimating initial variance for computing optimal bandwidth. Ignored if data already contains estimate of variance.

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