Wang2007

This is a simulated dataset from Wang2007 where various NONMEM
estimation methods (Lapclace FO, FOCE with and without
interaction) are described.

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

Richard Hooijmaijers

Teun Post

Robert Leary

Mirjam Trame

Hadley Wickham

Dirk Eddelbuettel

Johannes Pfeifer

Robert B. Schnabel

Elizabeth Eskow

Emmanuelle Comets

Audrey Lavenu

Marc Lavielle

David Ardia

Bill Denney

Daniel C. Dillon

Katharine Mullen

Ben Goodrich

Wang2007 function

A data frame with 20 rows and 3 columns<dl class="dl-horizontal">
 <dt>ID</dt><dd>Simulated Subject ID</dd>
 <dt>Time</dt><dd>Simulated Time</dd>
 <dt>Y</dt><dd>Simulated Value</dd>
</dl>

Format

Simulated Data Set for comparing objective functions — Wang2007

A data frame with 20 rows and 3 columns<dl class='dl-horizontal'>
 <dt>ID</dt><dd>Simulated Subject ID</dd>
 <dt>Time</dt><dd>Simulated Time</dd>
 <dt>Y</dt><dd>Simulated Value</dd>
</dl>

Simulated Data Set for comparing objective functions

Wang2007: Simulated Data Set for comparing objective functions

Description

Usage

Arguments

Format