mark_dose_number

Assigns sequential dose numbers based on dosing events (EVID) within each subject.

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

mark_dose_number function

<dl><dt>dat</dt>
<dd>A data frame containing raw time–concentration data in the
standard nlmixr2 format.</dd></dl>

Arguments

Author

Mark dose number — mark_dose_number

<dl>

<dt>dat</dt>
<dd>A data frame containing raw time–concentration data in the
standard nlmixr2 format.</dd>

</dl>

mark_dose_number: Mark dose number

Description

Usage

Value

Arguments

Author

Examples