BoxCox

One-parameter Box-Cox transformation.

The provided benchmark suite enables the automated evaluation and comparison of any existing and novel indirect method for reference interval ('RI') estimation in a systematic way.
Indirect methods take routine measurements of diagnostic tests, containing pathological and non-pathological samples as input and use sophisticated
statistical methods to derive a model describing the distribution of the non-pathological samples, which can then be
used to derive reference intervals. The benchmark suite contains 5,760 simulated test sets with varying difficulty.
To include any indirect method, a custom wrapper function needs to be provided.
The package offers functions for generating the test sets, executing the indirect method and evaluating the results.
See ?RIbench or vignette("RIbench_package") for a more comprehensive description of the features.
A detailed description and application is described in Ammer T., Schuetzenmeister A., Prokosch H.-U., Zierk J., Rank C.M., Rauh M. "RIbench: A Proposed Benchmark for the Standardized Evaluation of Indirect Methods for Reference Interval Estimation". Clinical Chemistry (2022) <doi:10.1093/clinchem/hvac142>.

Tatjana Ammer

RIbench

Benchmark Suite for Indirect Methods for RI Estimation

Christopher Rank

Andre Schuetzenmeister

BoxCox function

<dl><dt>x</dt>
<dd>(numeric) data to be transformed</dd>
<dt>lambda</dt>
<dd>(numeric) Box-Cox transformation parameter</dd></dl>

Arguments

Andre Schuetzenmeister <a href="/link/andre.schuetzenmeister%40roche.com?package=RIbench&version=1.0.2" data-mini-rdoc="RIbench::andre.schuetzenmeister@roche.com">andre.schuetzenmeister@roche.com</a>

Author

One-parameter Box-Cox transformation. — BoxCox

<dl>

<dt>x</dt>
<dd>(numeric) data to be transformed</dd>


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

</dl>

Andre Schuetzenmeister <a href='mailto:andre.schuetzenmeister@roche.com'>andre.schuetzenmeister@roche.com</a>

BoxCox: One-parameter Box-Cox transformation.

Description

Usage

Value

Arguments

Author