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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. Integrates with the 'nlmixr2'/'rxode2' ecosystem via three estimation methods: a First-Order ('FO') analytical estimator, a Monte Carlo (MC) 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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 admixr2_0.1.0.tar.gz 568.7 KiB
0.1.0 rolling linux/noble R-4.5 admixr2_0.1.0.tar.gz 574.8 KiB
0.1.0 rolling source/ R- admixr2_0.1.0.tar.gz 248.0 KiB
0.1.0 latest linux/jammy R-4.5 admixr2_0.1.0.tar.gz 568.7 KiB
0.1.0 latest linux/noble R-4.5 admixr2_0.1.0.tar.gz 574.8 KiB
0.1.0 latest source/ R- admixr2_0.1.0.tar.gz 248.0 KiB
0.1.0 2026-04-23 source/ R- admixr2_0.1.0.tar.gz 0 B

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