sample_generic

Generic function for parameter sampling according to the minimum and maximum values.
This function will sample parameters a first time and check if some parameters are out of range.
Based on the success rate, it will sample more parameters to reach the desired number of rows.

internal

A generic, easy-to-use and expandable implementation of a
pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4
class system. This package allows the user to read and write
pharmacometric models from and to files, including a JSON-based
interface to import Campsis models defined using a formal JSON schema
distributed with the package. Models can be adapted further on the fly
in the R environment using an intuitive API to add, modify or delete
equations, ordinary differential equations (ODEs), model parameters or
compartment properties (such as infusion duration or rate,
bioavailability and initial values). The package also provides export
facilities for use with the simulation packages 'rxode2' and
'mrgsolve'. The package itself is licensed under the GPL (>= 3); the
JSON schema file shipped in inst/extdata is licensed separately under
the Creative Commons Attribution 4.0 International (CC BY 4.0).  This
package is designed and intended to be used with the package
'campsis', a PK/PD simulation platform built on top of 'rxode2' and
'mrgsolve'.

Nicolas Luyckx

campsismod

Generic Implementation of a PK/PD Model

sample_generic function

<dl><dt>fun</dt>
<dd>function to call to sample parameters</dd>
<dt>args</dt>
<dd>arguments to pass to the function</dd>
<dt>n</dt>
<dd>number of rows to sample</dd>
<dt>minMax</dt>
<dd>a data frame with min, max values for each parameter</dd>
<dt>msg</dt>
<dd>message template</dd>
<dt>settings</dt>
<dd>replication settings</dd>
<dt>parameters</dt>
<dd>double array parameters to check for positive definiteness</dd></dl>

Arguments

Generic function for parameter sampling according to the minimum and maximum values.
This function will sample parameters a first time and check if some parameters are out of range.
Based on the success rate, it will sample more parameters to reach the desired number of rows. — sample_generic

<dl>

<dt>fun</dt>
<dd>function to call to sample parameters</dd>


<dt>args</dt>
<dd>arguments to pass to the function</dd>


<dt>n</dt>
<dd>number of rows to sample</dd>


<dt>minMax</dt>
<dd>a data frame with min, max values for each parameter</dd>


<dt>msg</dt>
<dd>message template</dd>


<dt>settings</dt>
<dd>replication settings</dd>


<dt>parameters</dt>
<dd>double array parameters to check for positive definiteness</dd>

</dl>

Generic function for parameter sampling according to the minimum and maximum values.
This function will sample parameters a first time and check if some parameters are out of range.
Based on the success rate, it will sample more parameters to reach the desired number of rows.

sample_generic: Generic function for parameter sampling according to the minimum and maximum values. This function will sample parameters a first time and check if some parameters are out of range. Based on the success rate, it will sample more parameters to reach the desired number of rows.

Description

Usage

Value

Arguments