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)