calcDiff

Calculate difference between two numeric vectors that
gives exactly zero for very small relative differences.

Regression methods to quantify the relation between two measurement
methods are provided by this package. In particular it addresses regression
problems with errors in both variables and without repeated measurements. It
implements the CLSI recommendations (see J. A. Budd et al.
(2018, <https://clsi.org/standards/products/method-evaluation/documents/ep09/>)
for analytical method comparison and bias estimation using patient samples.
Furthermore, algorithms for Theil-Sen and equivariant Passing-Bablok estimators
are implemented, see F. Dufey (2020, <doi:10.1515/ijb-2019-0157>) and
J. Raymaekers and F. Dufey (2022, <arXiv:2202:08060>).
A comprehensive overview over the implemented methods and references can be found
in the manual pages "mcr-package" and "mcreg".

Sergej Potapov

Method Comparison Regression

Fabian Model

Andre Schuetzenmeister

Ekaterina Manuilova

Florian Dufey

Jakob Raymaekers

Roche 

calcDiff function

<dl><dt>X</dt>
<dd>first number</dd>
<dt>Y</dt>
<dd>second number</dd>
<dt>EPS</dt>
<dd>relative difference equivalent to zero</dd></dl>

Arguments

Calculate difference between two numeric vectors that
gives exactly zero for very small relative differences. — calcDiff

<dl>

<dt>X</dt>
<dd>first number</dd>


<dt>Y</dt>
<dd>second number</dd>


<dt>EPS</dt>
<dd>relative difference equivalent to zero</dd>

</dl>

calcDiff: Calculate difference between two numeric vectors that gives exactly zero for very small relative differences.

Description

Usage

Value

Arguments