simulateScenarios

internal

A generic, easy-to-use and intuitive
pharmacokinetic/pharmacodynamic (PK/PD) simulation platform based on R
packages 'rxode2', 'RxODE' and 'mrgsolve'. CAMPSIS provides an
abstraction layer over the underlying processes of writing a PK/PD
model, assembling a custom dataset and running a simulation. CAMPSIS
has a strong dependency to the R package 'campsismod', which allows to
read/write a model from/to files and adapt it further on the fly in
the R environment. Package 'campsis' allows the user to assemble a
dataset in an intuitive manner. Once the user’s dataset is ready, the
package is in charge of preparing the simulation, calling 'rxode2',
'RxODE' or 'mrgsolve' (at the user's choice) and returning the
results, for the given model, dataset and desired simulation settings.

Nicolas Luyckx

campsis

Generic PK/PD Simulation Platform CAMPSIS

simulateScenarios function

<dl><dt>scenarios</dt>
<dd>list of scenarios to be simulated</dd>
<dt>model</dt>
<dd>generic CAMPSIS model</dd>
<dt>dataset</dt>
<dd>CAMPSIS dataset or 2-dimensional table</dd>
<dt>dest</dt>
<dd>destination simulation engine, default is 'RxODE'</dd>
<dt>events</dt>
<dd>interruption events</dd>
<dt>tablefun</dt>
<dd>function or lambda formula to apply on exported 2-dimensional dataset</dd>
<dt>outvars</dt>
<dd>variables to output in resulting dataframe</dd>
<dt>outfun</dt>
<dd>function or lambda formula to apply on resulting dataframe after each replicate</dd>
<dt>seed</dt>
<dd>seed value</dd>
<dt>replicates</dt>
<dd>number of replicates, default is 1</dd>
<dt>dosing</dt>
<dd>output dosing information, default is FALSE</dd>
<dt>settings</dt>
<dd>advanced simulation settings</dd></dl>

Arguments

Simulation scenarios. — simulateScenarios

<dl>

<dt>scenarios</dt>
<dd>list of scenarios to be simulated</dd>


<dt>model</dt>
<dd>generic CAMPSIS model</dd>


<dt>dataset</dt>
<dd>CAMPSIS dataset or 2-dimensional table</dd>


<dt>dest</dt>
<dd>destination simulation engine, default is 'RxODE'</dd>


<dt>events</dt>
<dd>interruption events</dd>


<dt>tablefun</dt>
<dd>function or lambda formula to apply on exported 2-dimensional dataset</dd>


<dt>outvars</dt>
<dd>variables to output in resulting dataframe</dd>


<dt>outfun</dt>
<dd>function or lambda formula to apply on resulting dataframe after each replicate</dd>


<dt>seed</dt>
<dd>seed value</dd>


<dt>replicates</dt>
<dd>number of replicates, default is 1</dd>


<dt>dosing</dt>
<dd>output dosing information, default is FALSE</dd>


<dt>settings</dt>
<dd>advanced simulation settings</dd>

</dl>

simulateScenarios: Simulation scenarios.

Description

Usage

Value

Arguments