trapezoidal_linear

Computes the area under the curve (AUC) or the area under the moment curve (AUMC) using the linear trapezoidal rule.
If <code>moment = TRUE</code>, the function estimates AUMC by integrating <code>time * concentration</code>.

Provides automated methods for generating initial parameter estimates
in population pharmacokinetic modeling. The pipeline integrates adaptive single-point
methods, naive pooled graphic approaches, noncompartmental analysis methods, and parameter
sweeping across pharmacokinetic models. It estimates residual unexplained variability
using either data-driven or fixed-fraction approaches and assigns pragmatic initial values
for inter-individual variability. These strategies are designed to improve model
robustness and convergence in 'nlmixr2' workflows. For more details see
Huang Z, Fidler M, Lan M, Cheng IL, Kloprogge F, Standing JF (2025)
<doi:10.1007/s10928-025-10000-z>.

Zhonghui Huang

nlmixr2autoinit

Automatic Generation of Initial Estimates for Population
Pharmacokinetic Modeling

Joseph Standing

Matthew Fidler

Frank Kloprogge

trapezoidal_linear function

<dl><dt>x</dt>
<dd>A numeric vector representing the time points.</dd>
<dt>y</dt>
<dd>A numeric vector representing the corresponding concentration values at each time point.</dd>
<dt>moment</dt>
<dd>Logical. If <code>TRUE</code>, computes AUMC by integrating <code>t * C(t)</code> instead of just <code>C(t)</code>.</dd></dl>

Arguments

Linear trapezoidal rule — trapezoidal_linear

<dl>

<dt>x</dt>
<dd>A numeric vector representing the time points.</dd>


<dt>y</dt>
<dd>A numeric vector representing the corresponding concentration values at each time point.</dd>


<dt>moment</dt>
<dd>Logical. If <code>TRUE</code>, computes AUMC by integrating <code>t * C(t)</code> instead of just <code>C(t)</code>.</dd>

</dl>

trapezoidal_linear: Linear trapezoidal rule

Description

Usage

Value

Arguments

Examples