nonparRI

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=mcradds&version=1.1.1" alt="[Experimental]"></a>
This nonparametric method is used to calculate the reference interval when the
distribution is skewed and the sample size is above to 120 observations.

Provides methods and functions to analyze the quantitative or
qualitative performance for diagnostic assays, and outliers detection,
reader precision and reference range are discussed. Most of the methods
and algorithms refer to CLSI (Clinical & Laboratory Standards Institute)
recommendations and NMPA (National Medical Products Administration)
guidelines. In additional, relevant plots are constructed by 'ggplot2'.

Kai Gu

mcradds

Processing and Analyzing of Diagnostics Trials

nonparRI function

<dl><dt>x</dt>
<dd>(<code>numeric</code>) numeric measurements from target population.</dd>
<dt>ind</dt>
<dd>(<code>integer</code>) integer vector for boot process, default is all
elements in <code>x</code>.</dd>
<dt>conf.level</dt>
<dd>(<code>numeric</code>) the percentile of reference limit.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
This nonparametric method is used to calculate the reference interval when the
distribution is skewed and the sample size is above to 120 observations.

Nonparametric Method in Calculation of Reference Interval — nonparRI

<dl>

<dt>x</dt>
<dd>(<code>numeric</code>) numeric measurements from target population.</dd>


<dt>ind</dt>
<dd>(<code>integer</code>) integer vector for boot process, default is all
elements in <code>x</code>.</dd>


<dt>conf.level</dt>
<dd>(<code>numeric</code>) the percentile of reference limit.</dd>

</dl>

nonparRI: Nonparametric Method in Calculation of Reference Interval

Description

Usage

Value

Arguments

Examples