predict.Model

More details can be found here: Model

Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project of the same name - 'PvSTATEM', which is an international project aiming for malaria elimination.

Tymoteusz Kwiecinski

PvSTATEM

Reading, Quality Control and Preprocessing of MBA (Multiplex
Bead Assay) Data

Jakub Grzywaczewski

Mateusz Nizwantowski

Przemyslaw Biecek

Nuno Sepulveda

predict.Model function

<dl><dt>object</dt>
<dd>(<code>Model()</code>)
Object of the Model class</dd>
<dt>mfi</dt>
<dd>(<code><a href="/link/numeric()?package=PvSTATEM&version=0.2.2" data-mini-rdoc="PvSTATEM::numeric()">numeric()</a></code>)
MFI values for which we want to predict the RAU values
Should be in the same scale as the MFI values used to fit the model</dd>
<dt>...</dt>
<dd>Additional arguments passed to the method</dd></dl>

Arguments

Predict the RAU values from the MFI values — predict.Model

<dl>

<dt>object</dt>
<dd>(<code>Model()</code>)
Object of the Model class</dd>


<dt>mfi</dt>
<dd>(<code><a href='https://rdrr.io/r/base/numeric.html'>numeric()</a></code>)
MFI values for which we want to predict the RAU values
Should be in the same scale as the MFI values used to fit the model</dd>


<dt>...</dt>
<dd>Additional arguments passed to the method</dd>

</dl>

predict.Model: Predict the RAU values from the MFI values

Description

Usage

Value

Arguments