testParam {refineR}

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]