Changes in version 0.1.0 (2026-10-20)                  

  - Stan fitting and draw extraction now use flexstanr. Configure
    automatic, scheduler-aware within-chain threading with
    stan_options(threading = TRUE).
  - First release.
  - Fit Bayesian compartmental infection models from individual-level
    outcome data, using Stan via 'rstan'. Models are composed from an
    infection process and an observation process and fit with a single
    call.
  - Infection-process building blocks: transmit() and progress() define
    transitions, assembled with make_infection_model().
    Susceptible-infected- recovered (SIR), split
    symptomatic/asymptomatic (SIIR), and similar multi-compartment
    structures are supported.
  - make_observation_model() defines the observation process
    (per-compartment detection probabilities for one or more tests).
  - run_model() fits the assembled model to the data and returns
    posterior draws on the natural (model) scale.
  - get_transmission_details() exposes the parameter structure of an
    infection model.
  - Bundled simulated datasets and fitted-draw fixtures for examples and
    the vignettes: sir, sir_cov, siir, and the sir_res, sir_cov_res,
    siir_res posterior draws.
  - Vignettes: "SIR" and "multiple infection compartments".