.nlmixr0preProcessCovariatesPresent

Preprocess Covariates needed (or other data items)

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 'rxode2' package (Wang,
Hallow, and James 2015 <doi:10.1002/psp4.12052>).

Matthew Fidler

nlmixr2est

Nonlinear Mixed Effects Models in Population PK/PD, Estimation
Routines

Yuan Xiong

Rik Schoemaker

Justin Wilkins

Wenping Wang

Robert Leary

Mason McComb

Vipul Mann

Mirjam Trame

Mahmoud Abdelwahab

Teun Post

Richard Hooijmaijers

Hadley Wickham

Dirk Eddelbuettel

Johannes Pfeifer

Robert B. Schnabel

Elizabeth Eskow

Emmanuelle Comets

Audrey Lavenu

Marc Lavielle

David Ardia

Katharine Mullen

Ben Goodrich

.nlmixr0preProcessCovariatesPresent function

<dl><dt>ui</dt>
<dd>rxode2 ui</dd>
<dt>est</dt>
<dd>estimation method (all methods are shown by
`nlmixr2AllEst()`). Methods can be added for other tools</dd>
<dt>data</dt>
<dd>nlmixr data</dd>
<dt>control</dt>
<dd>The estimation control object. These are expected
to be different for each type of estimation method</dd></dl>

Arguments

Author

Preprocess Covariates needed (or other data items) — .nlmixr0preProcessCovariatesPresent

<dl>

<dt>ui</dt>
<dd>rxode2 ui</dd>


<dt>est</dt>
<dd>estimation method (all methods are shown by
`nlmixr2AllEst()`). Methods can be added for other tools</dd>


<dt>data</dt>
<dd>nlmixr data</dd>


<dt>control</dt>
<dd>The estimation control object. These are expected
to be different for each type of estimation method</dd>

</dl>

Preprocess Covariates needed (or other data items)

.nlmixr0preProcessCovariatesPresent: Preprocess Covariates needed (or other data items)

Description

Usage

Value

Arguments

Author