metabolite

datasets

Fit and compare nonlinear mixed-effects models in differential
equations with flexible dosing information commonly seen in pharmacokinetics
and pharmacodynamics (Almquist, Leander, and Jirstrand 2015
<doi:10.1007/s10928-015-9409-1>). Differential equation solving is
by compiled C code provided in the 'RxODE' package
(Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).

Wenping Wang

nlmixr

Nonlinear Mixed Effects Models in Population Pharmacokinetics
and Pharmacodynamics

Matthew Fidler

Yuan Xiong

Rik Schoemaker

Justin Wilkins

Mirjam Trame

Richard Hooijmaijers

Teun Post

Robert Leary

Hadley Wickham

Dirk Eddelbuettel

Johannes Pfeifer

Robert B. Schnabel

Elizabeth Eskow

Emmanuelle Comets

Audrey Lavenu

Marc Lavielle

David Ardia

Bill Denney

Katharine Mullen

metabolite function

A data frame with 32 rows and 6 columns<dl class="dl-horizontal">
 <dt>time</dt><dd>Time of observation</dd>
 <dt>y1</dt><dd>Parent Concentration</dd>
 <dt>y2</dt><dd>Metabolite Concentration</dd>
</dl>

Format

Parent/Metabolite dataset — metabolite

A data frame with 32 rows and 6 columns<dl class='dl-horizontal'>
 <dt>time</dt><dd>Time of observation</dd>
 <dt>y1</dt><dd>Parent Concentration</dd>
 <dt>y2</dt><dd>Metabolite Concentration</dd>
</dl>

Parent/Metabolite dataset

metabolite: Parent/Metabolite dataset

Description

Usage

Arguments

Format