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.