imuGAP 0.1.0

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.
• Bundled Stan models:
  • impute_school_coverage_process_v6 (adds county- and school-level random effects; current default).
• Bundled example datasets for end-to-end examples and tests: locations_sim, observations_sim, populations_sim, latent_params_sim, predict_sim, target_sim, and the reference fit_sim stanfit fixture.
• pkgdown documentation site published at https://accidda.github.io/imuGAP/.