CalcTaLDForReport

Shared logic between report_pred.R and report_resid.R.

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

CalcTaLDForReport function

<dl><dt>FDATA</dt>
<dd>data.frame of NONMEM data</dd>
<dt>nRec</dt>
<dd>integer, number of records</dd></dl>

Arguments

Calculate TaLD (Time after Latest Dose) for Report Generation — CalcTaLDForReport

<dl>

<dt>FDATA</dt>
<dd>data.frame of NONMEM data</dd>


<dt>nRec</dt>
<dd>integer, number of records</dd>

</dl>

CalcTaLDForReport: Calculate TaLD (Time after Latest Dose) for Report Generation

Description

Usage

Value

Arguments