model.pk

The administration is via a bolus. The PK model has one compartment (volume V) and a linear elimination (clearance Cl). The parameter ka is defined as \( ka=\frac{Cl}{V}\).

Implementation of an algorithm in two steps to estimate parameters of a model whose latent dynamics are inferred through latent processes, jointly regularized. This package uses 'Monolix' software (<https://monolixsuite.slp-software.com/>), which provide robust statistical method for non-linear mixed effects modeling. 'Monolix' must have been installed prior to use.

Auriane Gabaut

REMixed

Regularized Estimation in Mixed Effects Model

Ariane Bercu

Mélanie Prague

Cécile Proust-Lima

model.pk function

<dl><dt>t</dt>
<dd>vector of time ;</dd>
<dt>y</dt>
<dd>initial condition, named vector of form c(C=C0) ;</dd>
<dt>parms</dt>
<dd>named vector of model parameter ; should contain either "<code>Cl</code>" and "<code>V</code>" or "<code>ka</code>".</dd></dl>

Arguments

Generate trajectory of PK model — model.pk

<dl>

<dt>t</dt>
<dd>vector of time ;</dd>


<dt>y</dt>
<dd>initial condition, named vector of form c(C=C0) ;</dd>


<dt>parms</dt>
<dd>named vector of model parameter ; should contain either "<code>Cl</code>" and "<code>V</code>" or "<code>ka</code>".</dd>

</dl>

model.pk: Generate trajectory of PK model

Description

Usage

Value

Arguments

See Also

Examples