CombDmExPc

A new NONMEM dataset can be created from the demographics, dosing, and DV tables.

Data Preparation

This shows how NONMEM(R) software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.

Kyun-Seop Bae

Understanding Nonlinear Mixed Effects Modeling for Population
Pharmacokinetics

CombDmExPc function

<dl> <dt>dm</dt>
<dd>A demographics table. It should contain a row per subject.</dd> <dt>ex</dt>
<dd>An exposure table. Drug administration (dosing) history table.</dd> <dt>pc</dt>
<dd>A DV(dependent variable) or PC(drug concentration) table</dd></dl>

Arguments

Author

Combine the demographics(DM), dosing(EX), and DV(PC) tables into a new NONMEM dataset — CombDmExPc

<dl>

 <dt>dm</dt>
<dd>A demographics table. It should contain a row per subject.</dd>

 <dt>ex</dt>
<dd>An exposure table. Drug administration (dosing) history table.</dd>

 <dt>pc</dt>
<dd>A DV(dependent variable) or PC(drug concentration) table</dd>

</dl>

CombDmExPc: Combine the demographics(DM), dosing(EX), and DV(PC) tables into a new NONMEM dataset

Description

Usage

Value

Arguments

Author

Details