PanelCor

internal

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

PanelCor function

<dl><dt>x</dt>
<dd>numeric vector</dd>
<dt>y</dt>
<dd>numeric vector</dd>
<dt>digits</dt>
<dd>integer, number of digits for correlation</dd>
<dt>prefix</dt>
<dd>character, prefix for text</dd>
<dt>cex.cor</dt>
<dd>numeric, character expansion for correlation</dd></dl>

Arguments

Correlation Panel for Pairs Plot — PanelCor

<dl>

<dt>x</dt>
<dd>numeric vector</dd>


<dt>y</dt>
<dd>numeric vector</dd>


<dt>digits</dt>
<dd>integer, number of digits for correlation</dd>


<dt>prefix</dt>
<dd>character, prefix for text</dd>


<dt>cex.cor</dt>
<dd>numeric, character expansion for correlation</dd>

</dl>

PanelCor: Correlation Panel for Pairs Plot

Description

Usage

Arguments