build_obs_records

Build NONMEM observation records from a PC-like data.frame.
PC must contain: SUBJID, DAT2, TIME, DV, CMT.
Output rows have AMT = 0, RATE = 0; DV that is NA or 0 -&gt; MDV = 1.

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

build_obs_records function

<dl><dt>PC</dt>
<dd>data.frame with observation information.</dd></dl>

Arguments

Build NONMEM Observation Records — build_obs_records

<dl>

<dt>PC</dt>
<dd>data.frame with observation information.</dd>

</dl>

build_obs_records: Build NONMEM Observation Records

Description

Usage

Value

Arguments