calculateCostHist

Calculate costs for a specific combinations of lambda, muVec and sigmaVec.

Indirect method for the estimation of reference intervals (RIs)
using Real-World Data ('RWD') and methods for comparing and verifying RIs.
Estimates RIs by applying advanced statistical methods to routine
diagnostic test measurements, which include both pathological and
non-pathological samples, to model the distribution of non-pathological
samples. This distribution is then used to derive reference intervals
and support RI verification, i.e., deciding if a specific RI is suitable
for the local population. The package also provides functions for
printing and plotting algorithm results. See ?refineR for a detailed
description of features. Version 1.0 of the algorithm is described in
'Ammer et al. (2021)' <doi:10.1038/s41598-021-95301-2>. Additional
guidance is in 'Ammer et al. (2023)' <doi:10.1093/jalm/jfac101>. The
verification method is described in 'Beck et al. (2025)'
<doi:10.1515/cclm-2025-0728>.

Matthias Beck

refineR

Reference Interval Estimation using Real-World Data

Tatjana Ammer

Christopher M Rank

Andre Schuetzenmeister

calculateCostHist function

<dl><dt>lambda</dt>
<dd>(numeric) transformation parameter for inverse Box-Cox transformation</dd>
<dt>muVec</dt>
<dd>(numeric) vector of mean values of non-pathological Gaussian distribution in transformed space</dd>
<dt>sigmaVec</dt>
<dd>(numeric) vector of sd values of non-pathological Gaussian distribution in transformed space</dd>
<dt>HistData</dt>
<dd>(list) with histogram data generated by function <code>generateHistData</code></dd>
<dt>alpha</dt>
<dd>(numeric) specifying the confidence region used for selection of histgram bins in cost calculation</dd>
<dt>alphaMcb</dt>
<dd>(numeric) specifying the confidence level defining the maximal allowed counts below asymmetric confidence region</dd>
<dt>pNormLookup</dt>
<dd>(list) with lookup table for pnormApprox function <code>pnormApprox</code></dd></dl>

Arguments

Tatjana Ammer <a href="/link/tatjana.ammer%40roche.com?package=refineR&version=2.0.0" data-mini-rdoc="refineR::tatjana.ammer@roche.com">tatjana.ammer@roche.com</a>

Author

Calculate costs for a specific combinations of lambda, muVec and sigmaVec. — calculateCostHist

<dl>

<dt>lambda</dt>
<dd>(numeric) transformation parameter for inverse Box-Cox transformation</dd>


<dt>muVec</dt>
<dd>(numeric) vector of mean values of non-pathological Gaussian distribution in transformed space</dd>


<dt>sigmaVec</dt>
<dd>(numeric) vector of sd values of non-pathological Gaussian distribution in transformed space</dd>


<dt>HistData</dt>
<dd>(list) with histogram data generated by function <code>generateHistData</code></dd>


<dt>alpha</dt>
<dd>(numeric) specifying the confidence region used for selection of histgram bins in cost calculation</dd>


<dt>alphaMcb</dt>
<dd>(numeric) specifying the confidence level defining the maximal allowed counts below asymmetric confidence region</dd>


<dt>pNormLookup</dt>
<dd>(list) with lookup table for pnormApprox function <code>pnormApprox</code></dd>

</dl>

Tatjana Ammer <a href='mailto:tatjana.ammer@roche.com'>tatjana.ammer@roche.com</a>

calculateCostHist: Calculate costs for a specific combinations of lambda, muVec and sigmaVec.

Description

Usage

Value

Arguments

Author