Description Usage Arguments Details Value See Also
Derives the optimal lambda for a given alpha.
1 | optimalLambda(alpha, n, p, k = 1, var.known = TRUE)
|
alpha |
The desired confidence coefficient. |
n |
The number of replications per population. |
p |
The number of populations considered. This must be present if min.loc is equal to 'zero'. |
k |
The number of populations selected. |
var.known |
A logical flag indicating if the variance of the observations is known exactly. It is TRUE by default. |
This will find the optimal lambda to be used for the shrinkage of confidence intervals.
The function returns a scalar value.
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