apply_wrapper           Reduce predicted functions to scalars via a
                        user-supplied wrapper
build_grid              Build a shared evaluation grid from a reference
                        dataset
coef.metahunt_weight_model
                        Extract coefficients from a MetaHunt weight
                        model
conformal_from_fit      Split conformal intervals from a pre-fit
                        MetaHunt pipeline
coverage                Empirical coverage of a conformal
                        prediction-interval object
cross_conformal         Cross-conformal prediction intervals (pooled
                        K-fold scores)
cv_error_curve          Cross-validated prediction-error curve for
                        basis-rank selection
dfspa                   Denoised functional Successive Projection
                        Algorithm (d-fSPA)
f_hat_from_models       Build the 'F_hat' matrix from a list of fitted
                        study-level models
fit_weight_model        Fit a weight model mapping study-level
                        covariates to simplex weights
metahunt                Fit the full MetaHunt pipeline
minmax_regret           Minimax-regret aggregator for multisite
                        function-valued estimands
plot.metahunt           Plot recovered basis functions from a MetaHunt
                        fit
plot.metahunt_conformal
                        Plot a conformal prediction-interval object
predict.metahunt        Predict target functions (or scalar summaries)
                        from a MetaHunt fit
predict.metahunt_weight_model
                        Predict simplex weights for new study-level
                        covariates
predict_target          Predict the target function for new study-level
                        covariates
print.metahunt_denoising_search
                        Print method for d-fSPA denoising parameter
                        search results
print.summary.metahunt
                        Print a 'summary.metahunt' object
project_to_simplex      Project study-level functions onto the simplex
                        spanned by basis functions
reconstruction_error_curve
                        Reconstruction-error curve for basis-rank
                        selection
select_denoising_params
                        Choose d-fSPA denoising parameters by
                        cross-validation
split_conformal         Split conformal prediction intervals for
                        target-function predictions
summary.metahunt        Summarise a MetaHunt fit
summary.metahunt_conformal
                        Summarise a conformal prediction-interval
                        object
