nmw_report_pred

Generates a PDF report with spaghetti plots, DV vs PRED/IPRE,
and individual fitting curves.

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

nmw_report_pred function

<dl><dt>run_dir</dt>
<dd>character, path to the NONMEM run directory (default: current directory)</dd></dl>

Arguments

Generate Prediction Diagnostics Report (S3-Predictions.PDF) — nmw_report_pred

<dl>

<dt>run_dir</dt>
<dd>character, path to the NONMEM run directory (default: current directory)</dd>

</dl>

nmw_report_pred: Generate Prediction Diagnostics Report (S3-Predictions.PDF)

Description

Usage

Arguments