Compute thresholds for the significant s of the reported standard deviation such that we can rule-out the errors: misclassification, wrong inclusion, wrong exclusion

Compute thresholds for the significant s of the reported standard deviation such that we can rule-out the errors: misclassification, wrong inclusion, wrong exclusion

rounding.risk.s.thresholds(z, z0 = z0, h = 0.2)

Arguments

z	a vector of z statistics
z0	significance threshold. Can be a single number or a vector of length z
h	half-width of considered window around z0

Value

A data frame with the columns "z", "s.misclass", "s.include", "s.exclude" specifying for each z value the corresponding thresholds.