W_basis                 Construct a functional basis for the modulating
                        component W
[.gdpar_formula_set     Subset a gdpar_formula_set by slot name or
                        position
[[.gdpar_formula_set    Extract a single formula from a
                        gdpar_formula_set
amm_build               Start a chainable builder for an AMM
                        specification
amm_load_spec           Load a canonical amm_spec file produced by
                        amm_save_spec
amm_save_spec           Serialize an amm_spec to a canonical plain-text
                        file
amm_set_W               Set the modulating basis on an AMM builder
amm_set_a               Set a per-dimension additive basis override on
                        an AMM builder
amm_set_a_uniform       Set the uniform additive basis on an AMM
                        builder
amm_set_b               Set a per-dimension multiplicative basis
                        override on an AMM builder
amm_set_b_uniform       Set the uniform multiplicative basis on an AMM
                        builder
amm_set_x_vars          Set the covariate names used by the modulating
                        component on an AMM builder
amm_spec                Specify the AMM canonical decomposition
as.data.frame.gdpar_coef
                        Coerce a gdpar_coef object to a long-tidy
                        data.frame
as.data.frame.gdpar_preflight_report
                        as.data.frame method for gdpar_preflight_report
as_amm_spec             Finalise an AMM builder into an amm_spec
as_per_k                Split a separable multivariate W_basis into
                        per-coordinate sub-bases
coef.gdpar_eb_fit       Coefficient extraction for gdpar_eb_fit
coef.gdpar_fit          Coefficients of a fitted gdpar model
diagnostics             Extract diagnostics from a fitted gdpar model
dimwise                 Broadcast a uniform per-component specification
                        to multiple dimensions
format.gdpar_coef       One-line formatter for gdpar_coef objects
format.gdpar_preflight_report
                        Format method for gdpar_preflight_report
gdpar                   Fit an AMM canonical model
gdpar_adapter_econml    Reference adapter: EconML CausalForestDML for
                        gdpar_compare_meta_learners
gdpar_adapter_grf       Reference adapter: grf::causal_forest for
                        gdpar_compare_meta_learners
gdpar_bf                Construct a formula set with brms-style sugar
gdpar_bvm_check         Bernstein-von Mises calibration check (opt-in,
                        costly)
gdpar_causal_bridge     Causal bridge (T-learner) between two gdpar
                        fits
gdpar_check_identifiability
                        Check basis-restricted functional independence
                        via Gram matrix
gdpar_compare_eb_fb     Compare an Empirical-Bayes fit against a
                        Fully-Bayes fit
gdpar_compare_meta_learners
                        Compare the AMM-side T-learner against external
                        meta-learners
gdpar_contraction_diagnostic
                        Empirical posterior contraction rate diagnostic
                        (opt-in, costly)
gdpar_dependence_diagnostic
                        Residual dependence diagnostic for a scalar
                        Empirical-Bayes fit
gdpar_dependence_robust
                        Dependence-robust standard errors via a
                        temporal block bootstrap
gdpar_dharma_object     Build a DHARMa simulation object from a fitted
                        gdpar model
gdpar_eb                Fit an AMM canonical model via Empirical Bayes
                        (EB)
gdpar_family            Construct a family object for AMM fitting
gdpar_family_custom     Construct a custom family object for AMM
                        fitting
gdpar_family_custom_K   Construct a K = 2 custom family from a
                        canonical lpdf pattern
gdpar_family_multi      Construct a multivariate family for AMM fitting
                        with p > 1
gdpar_formula_set       Construct a canonical formula set for
                        multi-parameter AMM modeling
gdpar_geom_bridge       Bridge a fitted gdpar model to the
                        geometry-adaptive orchestrator
gdpar_geom_fisher_simulator
                        Simulation-based estimator of the expected
                        Fisher information
gdpar_geom_fit          One-call geometry-adaptive fit (K-individual
                        path)
gdpar_geom_hmc          Static Hamiltonian Monte Carlo with a pluggable
                        geometry (Block RG engine)
gdpar_geom_laplace      Laplace approximation of a posterior at its
                        mode
gdpar_geom_metric_euclidean
                        Euclidean (constant) metric for the geometric
                        sampling engine
gdpar_geom_metric_gp_fisher
                        Learned Gaussian-process Riemannian metric
                        (expected Fisher surrogate)
gdpar_geom_metric_relativistic
                        Finsler / relativistic metric for the geometric
                        sampling engine
gdpar_geom_metric_riemannian
                        Riemannian (position-dependent) metric for the
                        geometric sampling engine
gdpar_geom_metric_subriemannian
                        Sub-Riemannian metric and integrator for the
                        geometric sampling engine
gdpar_geom_orchestrate
                        Geometry-adaptive sampling orchestrator
                        (opt-in)
gdpar_geom_orchestrate_budget
                        Budget and stopping rule for the
                        geometry-adaptive orchestrator
gdpar_geom_orchestrate_criteria
                        Success criteria for the geometry-adaptive
                        orchestrator
gdpar_geom_reservoir    Collect a reservoir of positions for the
                        learned Gaussian-process metric
gdpar_geom_rmhmc_adaptive
                        Adaptive Riemannian HMC with online
                        novelty-driven active learning
gdpar_geom_target       Build a target for the geometric sampling
                        engine
gdpar_geometry_diagnostic
                        Forensic diagnostic of posterior geometry
                        (opt-in)
gdpar_geometry_suite    Catalogue of synthetic posterior geometries of
                        known difficulty
gdpar_geometry_thresholds
                        Default classifier thresholds for the
                        posterior-geometry diagnostic
gdpar_golden_compare    Compare a fit snapshot against a golden
                        reference (experimental)
gdpar_ksd_joint         Joint kernel Stein discrepancy between EB and
                        FB posteriors
gdpar_loo               Approximate leave-one-out cross-validation for
                        a gdpar fit
gdpar_meta_learner_adapter
                        Adapter for external meta-learners used by
                        gdpar_compare_meta_learners
gdpar_posterior_predict
                        Posterior predictive draws for a fitted gdpar
                        model
gdpar_prior             Specify the priors for the AMM hierarchical
                        Bayesian model
gdpar_snapshot_fit      Build a reproducibility snapshot of a fitted
                        gdpar model (experimental)
gdpar_spatial_dependence_diagnostic
                        Spatial residual dependence diagnostic for a
                        scalar Empirical-Bayes fit
gdpar_spatial_dependence_robust
                        Dependence-robust standard errors via a spatial
                        block bootstrap
is_gdpar_meta_learner_adapter
                        Test whether an object is a
                        gdpar_meta_learner_adapter
length.gdpar_formula_set
                        Number of K-individual parameters in a
                        gdpar_formula_set
names.gdpar_formula_set
                        Slot names of a gdpar_formula_set
override                Layer a per-dimension override on a dims_spec
pp_check.gdpar_fit      Posterior predictive check for a fitted gdpar
                        model
predict.gdpar_causal_bridge
                        Predict method for gdpar_causal_bridge objects
predict.gdpar_eb_fit    Prediction for gdpar_eb_fit
predict.gdpar_fit       Posterior draws of theta_i for a fitted gdpar
                        model
predict.gdpar_meta_learner_comparison
                        Predict method for
                        gdpar_meta_learner_comparison objects
preflight_global_decision
                        Accessor: aggregated per-component preflight
                        decisions
preflight_per_dim       Accessor: per-dimension preflight decisions
print.W_basis           Print method for W_basis objects
print.amm_builder       Print method for amm_builder objects
print.amm_spec          Print method for amm_spec objects
print.dims_spec         Print method for dims_spec objects
print.gdpar_bvm_report
                        Print method for gdpar_bvm_report objects
print.gdpar_causal_bridge
                        Print method for gdpar_causal_bridge objects
print.gdpar_coef        Print method for gdpar_coef objects
print.gdpar_contraction_report
                        Print method for gdpar_contraction_report
                        objects
print.gdpar_dependence_diagnostic
                        Print method for gdpar_dependence_diagnostic
                        objects
print.gdpar_dependence_robust
                        Print method for gdpar_dependence_robust
                        objects
print.gdpar_diagnostics
                        Print method for gdpar_diagnostics objects
print.gdpar_eb_fb_comparison
                        Print method for gdpar_eb_fb_comparison
print.gdpar_eb_fit      Print method for gdpar_eb_fit
print.gdpar_family      Print method for gdpar_family objects
print.gdpar_family_multi
                        Print method for gdpar_family_multi objects
print.gdpar_fit         Print method for gdpar_fit objects
print.gdpar_formula_set
                        Print method for gdpar_formula_set objects
print.gdpar_geom_bridge
                        Print method for gdpar_geom_bridge objects
print.gdpar_geom_certificate
                        The certified-limit object of the
                        geometry-adaptive orchestrator
print.gdpar_geom_fit    Print method for gdpar_geom_fit objects
print.gdpar_geom_hmc    Print method for gdpar_geom_hmc objects
print.gdpar_geom_laplace
                        Print method for gdpar_geom_laplace objects
print.gdpar_geom_orchestration
                        Print method for gdpar_geom_orchestration
                        objects
print.gdpar_geom_rmhmc_adaptive
                        Print method for gdpar_geom_rmhmc_adaptive
                        objects
print.gdpar_geom_target
                        Print method for gdpar_geom_target objects
print.gdpar_geometry_diagnostic
                        Print method for gdpar_geometry_diagnostic
                        objects
print.gdpar_geometry_target
                        Print method for gdpar_geometry_target objects
print.gdpar_identifiability_report
                        Print method for gdpar_identifiability_report
                        objects
print.gdpar_ksd_joint   Print method for gdpar_ksd_joint
print.gdpar_meta_learner_adapter
                        Print method for gdpar_meta_learner_adapter
print.gdpar_meta_learner_comparison
                        Print method for gdpar_meta_learner_comparison
                        objects
print.gdpar_preflight_report
                        Print method for gdpar_preflight_report
print.gdpar_prior       Print method for gdpar_prior objects
print.gdpar_spatial_dependence_diagnostic
                        Print method for
                        gdpar_spatial_dependence_diagnostic objects
print.gdpar_spatial_dependence_robust
                        Print method for
                        gdpar_spatial_dependence_robust objects
print.summary.gdpar_causal_bridge
                        Print method for summary.gdpar_causal_bridge
                        objects
print.summary.gdpar_eb_fb_comparison
                        Print method for summary.gdpar_eb_fb_comparison
print.summary.gdpar_eb_fit
                        Print method for summary.gdpar_eb_fit
print.summary.gdpar_meta_learner_comparison
                        Print method for
                        summary.gdpar_meta_learner_comparison objects
residuals.gdpar_fit     Residuals for a fitted gdpar model
summary.gdpar_causal_bridge
                        Summary method for gdpar_causal_bridge objects
summary.gdpar_coef      Summary method for gdpar_coef objects
summary.gdpar_eb_fb_comparison
                        Summary method for gdpar_eb_fb_comparison
summary.gdpar_eb_fit    Summary method for gdpar_eb_fit
summary.gdpar_fit       Summary method for gdpar_fit objects
summary.gdpar_ksd_joint
                        Summary method for gdpar_ksd_joint
summary.gdpar_meta_learner_comparison
                        Summary method for
                        gdpar_meta_learner_comparison objects
summary.gdpar_preflight_report
                        Summary method for gdpar_preflight_report
