v1.1.0

What's New in v1.1.0

New Models

• SIRSNonAutonomous — SIRS with time-dependent transmission, recovery, and waning immunity parameters (callable functions)
• SISLogistic — SIS model with logistic population growth
• SIRSEIData — Malaria vector-host model with real climate data interpolation
• SEIRS_SEI — Vector-borne model with deforestation and forest fire environmental effects
• SIR2Strain — Two-strain SIR with cross-immunity and vital dynamics
• NeipelHeterogeneousSIR — Heterogeneous susceptibility model (Neipel et al. 2020)

Model Fitting Framework (epimodels.fitting)

• Full parameter estimation from observed epidemiological data
• 7 loss functions: SSE, Weighted SSE, Poisson, Negative Binomial, Normal, Log-likelihood, Huber
• 4 optimizers: Scipy, JAX (GPU), Nevergrad (derivative-free), Multi-start
• Dataset management with time series validation
• Profile likelihood confidence intervals
• Automatic initial condition estimation

New Tools

• VFGen exporter — Export models to vfgen XML format for external numerical analysis
• Phase space tools — Time delay embedding, mutual information, Cao's method
• SymbolicModel analysis — R0 computation, equilibrium finding, stability analysis, sensitivity/elasticity
• Mermaid diagrams — Auto-generated compartment flow diagrams (model.diagram)

Bug Fixes

• Fixed SISLogistic R0 parametrization

Documentation

• Comprehensive README rewrite with model tables, fitting guide, and solver comparison
• New docs/fitting.rst page for parameter inference documentation
• Updated changelog with full release history
• Updated contributor list

Breaking Changes

None — fully backward compatible with v1.0.x.

Full Changelog: v1.0.2...v1.1.0