PKreport: report generation for checking population pharmacokinetic model assumptions.

Area of Science:

• Pharmacokinetics
• Computational Biology
• Statistical Modeling

Background:

• Graphics are crucial for population pharmacokinetic (PopPK) model building, aiding in data exploration, model fit evaluation, and result validation.
• Effective visualization tools are essential for understanding complex PopPK data and model performance.

Purpose of the Study:

• To introduce PKreport, a novel R package designed to streamline the process of generating plots and statistics for PopPK model analysis.
• To provide a comprehensive solution for visualizing data, diagnosing models, and testing assumptions in PopPK studies.

Main Methods:

• Development of the PKreport R package utilizing an S4 class hierarchy for efficient NONMEM 7 output access.
• Implementation of a metric system for data set communication and generation of specialized plots.
• Integration with diverse PopPK software outputs (e.g., NONMEM, Monolix, R nlme).

Main Results:

• PKreport generates automated plots and statistics for PopPK model assessment.
• The package facilitates data visualization, model diagnostics, and assumption testing.
• It offers an efficient way to manage and visualize PopPK model outputs using a web browser interface.

Conclusions:

• PKreport provides a flexible R class for NONMEM 7 output management and visualization.
• The package automates plot generation and provides tools for figure management.
• High-quality graphs are produced using lattice and ggplot2, with extensible architecture for future development.