# General Dynamic Parameter Models via Reference Anchoring

## Documentation for package ‘gdpar’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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