modelData

modelData.data.frame

Create a list giving data and parameters to use in the model inference.

The MOSAICbioacc application is a turnkey package providing bioaccumulation
factors (BCF/BMF/BSAF) from a toxicokinetic (TK) model fitted to
accumulation-depuration data. It is designed to fulfil the requirements
of regulators when examining applications for market authorization of active
substances. See Ratier et al. (2021) <doi:10.1101/2021.09.08.459421>.

Virgile Baudrot

rbioacc

Inference and Prediction of ToxicoKinetic (TK) Models

Sandrine Charles

Ophélia Gestin

Miléna Kaag

Christelle Lopes

Gauthier Multari

Alain Pavé

Aude Ratier

Aurélie Siberchicot

modelData function

<dl><dt>object</dt>
<dd>An object of class <code>data.frame</code></dd>
<dt>...</dt>
<dd>Further arguments to be passed to generic methods</dd>
<dt>time_accumulation</dt>
<dd>A scalar givin accumulation time</dd>
<dt>elimination_rate</dt>
<dd>A scalar for the elimination rate. Default is <code>NA</code>.
To remove elimination rate, set <code>elimination_rate = 0</code>.</dd></dl>

Arguments

Create a list giving data and parameters to use in the model inference. — modelData

<dl>

<dt>object</dt>
<dd>An object of class <code>data.frame</code></dd>


<dt>...</dt>
<dd>Further arguments to be passed to generic methods</dd>


<dt>time_accumulation</dt>
<dd>A scalar givin accumulation time</dd>


<dt>elimination_rate</dt>
<dd>A scalar for the elimination rate. Default is <code>NA</code>.
To remove elimination rate, set <code>elimination_rate = 0</code>.</dd>

</dl>

Create a list giving data and parameters to use in the model inference.

modelData: Create a list giving data and parameters to use in the model inference.

Description

Usage

Value

Arguments