nmw_report_input

Generates a PDF report with input data validation including
individuals with no dosing/DV, duplicate records, and summary statistics.

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_input function

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

Arguments

Generate Input Data Summary Report (SA-Input.PDF) — nmw_report_input

<dl>

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

</dl>

nmw_report_input: Generate Input Data Summary Report (SA-Input.PDF)

Description

Usage

Arguments