admixr2 - Aggregate Data Modelling

Fit pharmacokinetic/pharmacodynamic (PK/PD) models to aggregate-level data (mean vector and covariance matrix per study) rather than individual-level data, for meta-analysis across studies. Integrates with the 'nlmixr2'/'rxode2' ecosystem via four estimation methods: a First-Order ('FO') analytical estimator, a Monte Carlo (MC) estimator, a Gauss-Hermite quadrature ('GH') estimator, and an Iterative Reweighting Monte Carlo ('IRMC') estimator. Methods are based on Välitalo (2021) <doi:10.1007/s10928-021-09760-1>; software described in van de Beek et al. (2025) <doi:10.1007/s10928-025-10011-w>.