First public release. Initial feature set:
sampling(): fits the imuGAP Bayesian hierarchical coverage model via
rstan::sampling() and returns an imugap_fit object wrapping the
underlying stanfit together with model settings and dataset metadata.predict.imugap_fit(): posterior-predicts coverage probabilities for a
user-supplied target population grid using rstan::gqs().extract_imugap(): convenience wrapper around rstan::extract() for
pulling out common imuGAP parameters (defaults to the state-level
B-spline coefficients beta_bs).canonicalize_locations(), canonicalize_observations(),
canonicalize_populations(): validate and convert user-supplied data
into the canonical forms required by the sampler.imugap_options(): configures model-side settings (B-spline degrees of
freedom, dose schedule, model object).stan_options(): configures Stan sampler settings (iter, chains,
seed, etc.) with input validation.impute_school_coverage_process_v6 (adds county- and school-level
random effects; current default).locations_sim, observations_sim, populations_sim,
latent_params_sim, predict_sim, target_sim, and the reference
fit_sim stanfit fixture.