Helper function to find optimal parameters lambda, mu and sigma.
testParam(
lambdaVec,
bestParam,
Data,
HistData,
startValues,
NIter,
alpha = 0.01,
alphaMcb = 0.1
)(numeric) vector with best parameters for lambda, mu, sigma, P, cost.
(numeric) transformation parameter for inverse Box-Cox transformation
(numeric) vector containing best guess for lambda, mu, sigma, P, cost
(numeric) values specifying percentiles or data points comprising pathological and non-pathological values
(list) with histogram data
(list) with start search regions for mu and sigma
(integer) specifying the number of iterations for optimized grid-search
(numeric) specifying the confidence region used for selection of histogram bins in cost calculation
(numeric) specifying the confidence level defining the maximal allowed counts below the asymmetric confidence region
Tatjana Ammer tatjana.ammer@roche.com