pksensi

pksensi performs global sensitivity analysis for physiologically based kinetic (PBK) models to quantify parameter uncertainty and sensitivity in multivariate pharmacokinetic and toxicokinetic model outputs.

Key Features:

• Global Sensitivity Analysis: Implements global SA methodologies to quantify parameter uncertainty and sensitivity across model outputs, including multivariate responses.
• R implementation: Provided as an R package for conducting sensitivity analyses within the R environment.
• Integration with PBK models: Interfaces with PBK models and supports solving the differential equations inherent to those models.
• Visualization and interpretation: Generates visualizations to assist interpretation of sensitivity results and to distinguish influential from non-influential parameters.
• Convergence checking: Includes functions to verify convergence of global SA results.

Scientific Applications:

• Model calibration: Identifies non-influential parameters to reduce computational burden during Bayesian Markov chain Monte Carlo (MCMC)-based calibration.
• Decision making: Provides quantitative insights into parameter influences to support model development and refinement decisions.

Methodology:

Conducts global sensitivity analysis to evaluate parameter uncertainty and sensitivity in physiologically based kinetic (PBK) models.