printSummary

<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>
A copy from mcr::printSummary in <code>mcr</code> package

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

printSummary function

<dl><dt>...</dt>
<dd>Arguments passed on to <code>mcr::printSummary</code><dl>
 <dt><code>.Object</code></dt>
<dd>object of type "MCResult".</dd></dl></dd> 
</dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
A copy from mcr::printSummary in <code>mcr</code> package

Print Summary of a Regression Analysis — printSummary

<dl>

<dt>...</dt>
<dd>Arguments passed on to <code>mcr::printSummary</code><dl>
 <dt><code>.Object</code></dt>
<dd>object of type "MCResult".</dd>

 
</dl></dd>

</dl>

State of Data and AI Literacy Report 2025

printSummary: Print Summary of a Regression Analysis

Description

Usage

Arguments

Examples