External Evaluation of Population Pharmacokinetic-Pharmacodynamic (popPKPD) Models

Provides tools to automate external pharmacokinetic model evaluation workflows, including Bayesian forecasting, predictive performance metrics, diagnostic plotting, and automated reporting.

exeval: An R-package for External Evaluation of popPKPD Models.

exeval provides a reproducible workflow for external evaluation of population pharmacokinetic (popPK) and pharmacokinetic-pharmacodynamic (PKPD) models using independent validation datasets. MAP estimation is currently powered by mapbayr.

The package supports model-informed evaluation workflows based on:

• Maximum a posteriori (MAP) estimation via mapbayr
• posterior model updating
• a priori and Bayesian forecasting simulations
• predictive performance metrics
• model comparison across candidate models
• graphical diagnostics and fit screening

Models can be supplied as:

• mrgsolve model code (mrgsolve)
• compiled mrgmod objects
• built-in curated models included in exeval

Input datasets should follow standard pharmacometric event-table structure (e.g. ID, TIME, DV, AMT, EVID, CMT, OCC), with helper functions available for data preparation.

Installation

You can install the development version of exeval from GitHub with:

install.packages("devtools")
devtools::install_github("Martin-Umpierrez/exeval")