Outline

Creates a graphical model development flow diagram from SumOut results.

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.
Additionally, provides functions for post-run processing of NONMEM output
files, generating comprehensive PDF diagnostic reports including objective
function value analysis, parameter estimates, prediction diagnostics,
residual diagnostics, empirical Bayes estimate (EBE) analysis, input data
summary, and individual pharmacokinetic parameter distributions.

Kyun-Seop Bae

Understanding Nonlinear Mixed Effects Modeling for Population
Pharmacokinetics

Outline function

<dl><dt>MDL</dt>
<dd>data.frame from SumOut</dd>
<dt>MDLName</dt>
<dd>character, model development name for title</dd>
<dt>out.start</dt>
<dd>character, filter start</dd>
<dt>out.end</dt>
<dd>character, filter end</dd>
<dt>Target</dt>
<dd>character, "PDF" or other</dd></dl>

Arguments

Draw Model Development Flow Diagram — Outline

<dl>

<dt>MDL</dt>
<dd>data.frame from SumOut</dd>


<dt>MDLName</dt>
<dd>character, model development name for title</dd>


<dt>out.start</dt>
<dd>character, filter start</dd>


<dt>out.end</dt>
<dd>character, filter end</dd>


<dt>Target</dt>
<dd>character, "PDF" or other</dd>

</dl>

Outline: Draw Model Development Flow Diagram

Description

Usage

Arguments