ReadFDATA

Reads FDATA.CSV, auto-detecting whether it has a NONMEM-style
2-row header (skip=2) or a standard 1-row header (skip=0).

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

ReadFDATA function

<dl><dt>file</dt>
<dd>character, path to the CSV file (default: "FDATA.CSV")</dd></dl>

Arguments

Read FDATA.CSV with Auto-Detection of Header Format — ReadFDATA

<dl>

<dt>file</dt>
<dd>character, path to the CSV file (default: "FDATA.CSV")</dd>

</dl>

ReadFDATA: Read FDATA.CSV with Auto-Detection of Header Format

Description

Usage

Value

Arguments