Man pages for powerbrmsINLA
Bayesian Power Analysis Using 'brms' and 'INLA'
| add_decision_overlay | Add sample-size decision overlay to a conditional power... |
| assurance_prior_weights | Create prior weights over an effect grid for use with... |
| beta_binom_power | Analytic Assurance for Beta-Binomial Designs |
| beta_weights_on_grid | Beta-Prior Weights Over an Effect Grid |
| brms_inla_power | Core Bayesian Assurance / Power Simulation (Modern,... |
| brms_inla_power_design | Design-based wrapper for Bayesian power / assurance |
| brms_inla_power_parallel | Parallel wrapper for fixed-design Bayesian power / assurance... |
| brms_inla_power_sequential | Sequential Bayesian Assurance Simulation Engine (Modern,... |
| brms_inla_power_two_stage | Two-Stage Bayesian Assurance Simulation (Multi-Effect,... |
| brms_inla_sequential_trial | Simulate a sequential Bayesian trial with interim stopping... |
| compute_assurance | Compute unconditional Bayesian assurance from simulation... |
| decide_sample_size | Decide recommended sample size from power/assurance results |
| dot-add_contour_lines | Add Contour Lines to a ggplot2 Plot Wrapper around... |
| dot-auto_data_generator | Automatic Data Generator for brms + INLA Simulation... |
| dot-brms_to_inla_formula2 | Convert brms Formula to INLA Formula (Multi-Fixed Support) |
| dot-compute_assurance | Compute Mean Assurance for a Given Metric (Multi-Effect... |
| dot-compute_weights_from_dist | Compute weights from a parametric prior distribution over an... |
| dot-eval_prior_density | Evaluate a prior density over a continuous x grid |
| dot-geom_line_lw | Create a ggplot2 Line Layer with Version-Compatible Width... |
| dot-geom_point_lw | Create a ggplot2 Point Layer with Version-Compatible Width... |
| dot-gg_line_arg | Determine ggplot2 Line Width Argument Name by Version Returns... |
| dot-map_brms_priors_to_inla | Map brms Priors to INLA Priors (Multi-Fixed) |
| dot-parse_re_terms | Parse brms-like Random Effects Terms (Modern Robust) |
| dot-plot_decision_assurance_curve_from_summary | Plot decision/assurance curve across n |
| dot-sample_design_prior | Sample a true effect from a design-prior specification |
| dot-sample_sd_spec | Draw One Sample from an SD Specification |
| dot-scale_fill_viridis_continuous | Scale Fill for Viridis Continuous Data |
| dot-scale_fill_viridis_discrete | Scale Fill for Viridis Discrete Data |
| dot-seq_design_fingerprint | MD5 fingerprint of a sequential design's decision-relevant... |
| dot-should_stop_binom | Wilson Confidence Interval Early Stopping Rule Determines... |
| dot-to_inla_family | Map a brms Family to an INLA Family (Modern, Robust) |
| hdi_of_icdf | Highest Density Interval from an Inverse CDF |
| min_n_beta_binom | Minimum n for Target Assurance (Beta-Binomial) |
| or_or | Internal Coalesce Operator Returns the left-hand side if it... |
| plot_assurance_curve | Plot Assurance Curve(s) vs Sample Size |
| plot_assurance_with_robustness | Plot Conditional Power with Robustness Ribbon (Multi-Effect... |
| plot_bf_assurance_curve | Bayes-factor conditional power curve (user-facing wrapper) |
| plot_bf_assurance_curve_smooth | Conditional Bayesian power curve for the Bayes factor... |
| plot_bf_expected_evidence | Plot Expected Evidence (mean log10 BF10, Multi-Effect Grid... |
| plot_bf_heatmap | Plot Bayes Factor Heatmap (mean log10 BF10, Multi-Effect Grid... |
| plot_decision_assurance_curve | Plot Conditional Power Curve for a Decision Rule... |
| plot_decision_threshold_contour | Plot Decision Threshold Contour (Multi-Effect Grid Friendly) |
| plot_design_prior | Plot Design Prior Density over the Effect Grid |
| plot_interaction_surface | Plot Interaction Conditional Power Surface/Heatmap/Lines... |
| plot_power_assurance_overlay | Plot Conditional Power Curves with Assurance Overlay |
| plot_power_contour | Draw a filled contour plot of conditional Bayesian power for... |
| plot_power_heatmap | Plot Conditional Bayesian Power Heatmap (Multi-Effect Grid... |
| plot_precision_assurance_curve | Plot Precision Conditional Power Curve (Multi-Effect Grid... |
| plot_precision_fan_chart | Precision conditional power as a function of sample size |
| plot_sequential_monitor | Plot a sequential analysis trajectory with stopping... |
| print.brms_inla_power | Print method for brms_inla_power result objects |
| print.powerbrmsINLA_assurance | Print method for powerbrmsINLA_assurance objects |
| print.powerbrmsINLA_sample_size | Print method for powerbrmsINLA_sample_size objects |
| print.powerbrmsINLA_seq_design | Print method for sequential design objects |
| print.powerbrmsINLA_seq_monitor | Print method for sequential analysis monitor objects |
| print.powerbrmsINLA_seq_trial | Print method for sequential trial simulation results |
| sequential_analysis | Analyse accumulated real data at a sequential interim look |
| sequential_design | Prespecify a sequential Bayesian analysis design |
| validate_inla_vs_brms | Spot-check INLA posterior estimates against brms/Stan |
| validate_sd_spec | Validate an SD Specification for error_sd or group_sd |
