c2st                    Classifier two-sample test (C2ST)
density_estimator       Conditional density estimators
diagnostics             Posterior diagnostics
embedding_mlp           Embedding (summary) networks for structured
                        observations
expected_coverage       Expected coverage of central credible intervals
log_prob                Posterior log-density
map_estimate            Maximum a posteriori (MAP) estimate
npe                     Neural Posterior Estimation (NPE)
npe_sequential          Sequential NPE with truncated-prior proposals
                        (TSNPE)
pairplot                Visualize posterior samples
plot_coverage           Plot nominal vs. empirical credible-interval
                        coverage
plot_posterior_predictive
                        Plot posterior predictive checks
plot_sbc                Plot an SBC rank histogram
plot_tarp               Plot TARP expected coverage
posterior               Posterior objects
posterior_predictive    Posterior predictive draws
prior_custom            Build a prior from arbitrary sampling / density
                        functions
prior_normal            Independent normal prior
prior_uniform           Box-uniform (independent uniform) prior
priors                  Priors for neural simulation-based inference
sample                  Draw samples (S3 generic)
sample.nsbi_posterior   Sample from a posterior
sample_posterior        Sample from a posterior (non-generic alias)
sample_prior            Draw samples from a prior
sbc                     Simulation-Based Calibration (SBC)
simulate_for_sbi        Run a simulator over prior draws
summaries               Summaries and tidy accessors
tarp                    TARP expected coverage
tasks                   Benchmark tasks
within_support          Test whether parameters lie within the prior
                        support
