Man pages for eam
Evidence Accumulation Models
| abc_abc | Approximate Bayesian Computation wrapper |
| abc_cv | Cross-validation for ABC model |
| abc_posterior_bootstrap | Bootstrap resample ABC posterior samples |
| abc_posterior_predictive_check | ABC posterior predictive check |
| abc_postpr | ABC model comparison wrapper |
| abc_resample | ABC with resampling |
| abi_assess | Assess neural estimator using trained estimator |
| abi_estimate | Estimate parameters using trained neural estimator |
| abi_posterior_predictive_check | ABI posterior predictive check |
| abi_sample_posterior | Sample from posterior distribution using trained neural... |
| abi_train | Train neural estimator using ABI input |
| accumulate_evidence_ddm | Simulate evidence accumulation in a drift-diffusion model |
| accumulate_evidence_ddm_2b | Simulate evidence accumulation in a two-bound drift-diffusion... |
| accumulate_evidence_lca_gi | Simulate evidence accumulation in a leaky competing... |
| apply_summarise_by_spec | Internal function to apply a spec to data |
| build_abc_input | Build input for Approximate Bayesian Computation (ABC) |
| build_abi_input | Build input for Amortized Bayesian Inference (ABI) |
| build_abi_input.theta | Extract and format parameter matrix for ABI |
| build_abi_input.Z | Extract and format summary statistics for ABI |
| calculate_total_rows | Calculate total number of rows needed for flattened data |
| detect_backend_ddm | Backend detector for standard DDM |
| detect_backend_ddm_2b | Backend detector for 2-boundary DDM |
| detect_backend_lca_gi | Backend detector for LCA-GI |
| evaluate_with_dt | Evaluate a list of formulas sequentially with data |
| extract_abc_param_values | Extract parameter values from abc result |
| extract_resample_medians | Extract posterior medians from abc_resample output |
| fill_data_table | Fill pre-allocated data.table with simulation results |
| flatten_simulation_results | Convert simulation results to a tidy data.table |
| get_backend_detectors | Get all registered backend detectors |
| get_column_names | Extract column names from simulation results |
| get_config_env_names | Extract all left-hand side variable names from config... |
| init_julia_env | Initialize Julia Environment |
| init_simulation_output_dir | Initialize simulation output directory structure |
| load_simulation_output | Rebuild eam_simulation_output from an existing output... |
| map_by_condition | Map a function by condition across simulation output chunks |
| map_by_condition.parallel.heuristic | Heuristic to determine if parallel processing should be used |
| map_by_condition.process_chunk | Process a single chunk for map_by_condition |
| new_simulation_config | Create a new simulation configuration |
| new_simulation_config.chunk_size.heuristic | Heuristic to calculate optimal chunk size for simulation... |
| new_simulation_output | Create a eam_simulation_output object |
| plot_accuracy | Plot accuracy comparison between posterior and observed data |
| plot_accuracy_ddm | Plot accuracy for DDM model (internal) |
| plot_accuracy_ddm_2b | Plot accuracy for DDM-2B model (internal) |
| plot_accuracy_graph | Plot accuracy graph (internal) |
| plot_cv_pair_correlation | Plot CV parameter pair correlations |
| plot_cv_recovery | Plot CV parameter recovery |
| plot_posterior_parameters | Plot parameter posterior distributions |
| plot_resample_forest | Plot resample forest plots |
| plot_resample_medians | Plot resample median distributions |
| plot_rt | Plot reaction time distributions |
| plus-.eam_summarise_by_spec | Add two summarise_by specs together |
| plus-.eam_summarise_by_tbl | Join two eam_summarise_by_tbl objects |
| preallocate_columns | Pre-allocate data.table columns with appropriate data types |
| print.eam_simulation_config | Print method for eam simulation configuration |
| resolve_symbol | Helper to resolved defined symbols in our formulas |
| route_model_to_backend | Route model alias to backend and enrich configuration |
| run_chunk | Run a chunk of simulation conditions and save results to disk |
| run_condition | Run a given condition with multiple trials |
| run_simulation | Run a simulation with specified configuration |
| run_simulation_parallel | Run a full simulation across multiple conditions in parallel |
| run_simulation_serial | Run a full simulation across multiple conditions (serial... |
| run_trial_ddm | Run a single trial of the DDM simulation |
| run_trial_ddm_2b | Run a single trial of the 2-boundary DDM simulation |
| run_trial_lca_gi | Run a single trial of the LCA-GI simulation |
| summarise_by | Summarise data by groups with optional pivoting |
| summarise_by_impl | Internal function to perform the core summarise_by logic |
| summarise_posterior_parameters | Summarise posterior parameter distributions |
| summarise_resample_medians | Summarise resample medians |
| update_config_from_posterior | Update a simulation config with posterior parameter values |
