testParam: Helper function to find optimal parameters lambda, mu and...

In refineR: Reference Interval Estimation using Real-World Data

Helper function to find optimal parameters lambda, mu and sigma.

Description

Helper function to find optimal parameters lambda, mu and sigma.

Usage

testParam(
  lambdaVec,
  bestParam,
  Data,
  HistData,
  startValues,
  NIter,
  alpha = 0.01,
  alphaMcb = 0.1
)

Arguments

lambdaVec	(numeric) transformation parameter for inverse Box-Cox transformation
bestParam	(numeric) vector containing best guess for lambda, mu, sigma, P, cost
Data	(numeric) values specifying percentiles or data points comprising pathological and non-pathological values
HistData	(list) with histogram data
startValues	(list) with start search regions for mu and sigma
NIter	(integer) specifying the number of iterations for optimized grid-search
alpha	(numeric) specifying the confidence region used for selection of histogram bins in cost calculation
alphaMcb	(numeric) specifying the confidence level defining the maximal allowed counts below the asymmetric confidence region

Value

(numeric) vector with best parameters for lambda, mu, sigma, P, cost.

Author(s)

Tatjana Ammer [e-mail]

refineR documentation built on Sept. 11, 2024, 8:27 p.m.