pooled_control

Defines control parameters for time binning and preprocessing in pooled
data analysis. These parameters are typically passed to 'get_pooled_data'.

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

pooled_control function

<dl><dt>nbins</dt>
<dd>Integer or the character string auto. Number of time bins used
to group observations. Default is 10.</dd>
<dt>bin_method</dt>
<dd>Character string specifying the binning method. Must be one
of "quantile", "jenks", "kmeans", "pretty", "sd", "equal", or "density".</dd>
<dt>tad_rounding</dt>
<dd>Logical value indicating whether tad and the most common
dosing interval should be rounded to the nearest whole unit before
comparison. Default is TRUE, allowing small deviations (for example, a tad
of 24.3 is treated as within a 24-unit interval).</dd></dl>

Arguments

Control settings for pooled data analysis — pooled_control

<dl>

<dt>nbins</dt>
<dd>Integer or the character string auto. Number of time bins used
to group observations. Default is 10.</dd>


<dt>bin_method</dt>
<dd>Character string specifying the binning method. Must be one
of "quantile", "jenks", "kmeans", "pretty", "sd", "equal", or "density".</dd>


<dt>tad_rounding</dt>
<dd>Logical value indicating whether tad and the most common
dosing interval should be rounded to the nearest whole unit before
comparison. Default is TRUE, allowing small deviations (for example, a tad
of 24.3 is treated as within a 24-unit interval).</dd>

</dl>

pooled_control: Control settings for pooled data analysis

Description

Usage

Value

Arguments

See Also

Examples