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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.