General Dynamic Parameter Models via Reference Anchoring
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Documentation for package ‘gdpar’ version 0.1.0
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A C D F G I L N O P R S W misc
-- A --
| 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_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_W | Set the modulating 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 |
-- C --
| coef.gdpar_eb_fit | Coefficient extraction for gdpar_eb_fit |
| coef.gdpar_fit | Coefficients of a fitted gdpar model |
-- D --
| diagnostics | Extract diagnostics from a fitted gdpar model |
| dimwise | Broadcast a uniform per-component specification to multiple dimensions |
-- F --
| format.gdpar_coef | One-line formatter for gdpar_coef objects |
| format.gdpar_preflight_report | Format method for gdpar_preflight_report |
-- G --
| 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_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_geom_bridge | Bridge a fitted gdpar model to the geometry-adaptive orchestrator |
| gdpar_geom_certificate | The certified-limit object of 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_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 |
-- I --
| is_gdpar_meta_learner_adapter | Test whether an object is a gdpar_meta_learner_adapter |
-- L --
| length.gdpar_formula_set | Number of K-individual parameters in a gdpar_formula_set |
-- N --
| names.gdpar_formula_set | Slot names of a gdpar_formula_set |
-- O --
| override | Layer a per-dimension override on a dims_spec |
-- P --
| 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.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_geometry_diagnostic | Print method for gdpar_geometry_diagnostic objects |
| print.gdpar_geometry_target | Print method for gdpar_geometry_target 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_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 |
| print.W_basis | Print method for W_basis objects |
-- R --
| residuals.gdpar_fit | Residuals for a fitted gdpar model |
-- S --
| 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 |
-- W --
| W_basis | Construct a functional basis for the modulating component W |
-- misc --
| [.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 |