denim

denim builds and simulates deterministic compartmental models with flexible dwell time distributions for systems with non-Markovian properties.

Key Features:

• Flexible dwell time distributions: Enables full flexibility on dwell time distributions rather than assuming memoryless exponential distributions.
• Deterministic continuous-variable numerical approach: Uses a deterministic, continuous-variable, numerical modelling approach for solving compartmental models.
• Dedicated model definition language: Provides a dedicated language for defining compartmental models within the R framework.

Scientific Applications:

• Infectious disease epidemiology: Supports SIR (Susceptible-Infectious-Recovered) and related frameworks for modeling disease transmission dynamics.
• Clinical process modeling: Enables construction of more realistic epidemiological models using detailed clinical process data for accurate projections.
• Survival analysis: Applicable to systems with primary and secondary time scales where dwell time distributions affect model outcomes.

Methodology:

The package implements a deterministic, continuous-variable, numerical modelling approach that allows full flexibility on dwell time distributions through a dedicated language for model definition.