Description
External Evaluation of Population Pharmacokinetic-Pharmacodynamic (popPKPD) Models.
Description
Provides tools to automate external pharmacokinetic model evaluation workflows, including Bayesian forecasting, predictive performance metrics, diagnostic plotting, and automated reporting.
README.md
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:
mrgsolvemodel code (mrgsolve)- compiled
mrgmodobjects - 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")