Bayesian Power Analysis Using 'brms' and 'INLA'
Parallel wrapper for fixed-design Bayesian power / assurance simulatio...
Sequential Bayesian Assurance Simulation Engine (Modern, Multi-Effect ...
Compute Mean Assurance for a Given Metric (Multi-Effect Compatible) Su...
Create a ggplot2 Line Layer with Version-Compatible Width
Create a ggplot2 Point Layer with Version-Compatible Width
Compute Mean Assurance for a Given Metric (Modern, Multi-Effect Compat...
Map brms Priors to INLA Priors (Multi-Fixed)
Parse brms-like Random Effects Terms (Modern Robust)
Plot decision/assurance curve across n
Scale Fill for Viridis Continuous Data
Scale Fill for Viridis Discrete Data
Wilson Confidence Interval Early Stopping Rule Determines whether to s...
Map a brms Family to an INLA Family (Modern, Robust)
Highest Density Interval from an Inverse CDF
Minimum n for Target Assurance (Beta-Binomial)
Internal Coalesce Operator Returns the left-hand side if it is not NUL...
Plot Assurance with Robustness Ribbon (Multi-Effect Grid Friendly)
Bayes-factor assurance curve with Wilson CIs (multi-effect grid friend...
Bayes-factor assurance curve (user-facing wrapper)
Plot Expected Evidence (mean log10 BF10, Multi-Effect Grid Friendly)
Plot Bayes Factor Heatmap (mean log10 BF10, Multi-Effect Grid Friendly...
Add sample-size decision overlay to an assurance contour
Analytic Assurance for Beta-Binomial Designs
Beta-Prior Weights Over an Effect Grid
Design-based wrapper for Bayesian power / assurance
Two-Stage Bayesian Assurance Simulation (Multi-Effect, User-Friendly A...
Core Bayesian Assurance / Power Simulation (Modern, Multi-Effect Ready...
Decide recommended sample size from power/assurance results
Add Contour Lines to a ggplot2 Plot
Automatic Data Generator for brms + INLA Simulation (Multi-Effect Read...
Convert brms Formula to INLA Formula (Multi-Fixed Support)
Plot Decision Assurance Curve (Multi-Effect Grid Friendly)
Plot Decision Threshold Contour (Multi-Effect Grid Friendly)
Plot Interaction Assurance Surface/Heatmap/Lines (Multi-Effect Grid Fr...
Draw a filled contour plot of assurance for a chosen metric, as a func...
Plot Bayesian Power / Assurance Heatmap (Multi-Effect Grid Friendly)
Plot Precision Assurance Curve (Multi-Effect Grid Friendly)
Precision assurance as a function of sample size
Provides tools for Bayesian power analysis and assurance calculations using the statistical frameworks of 'brms' and 'INLA'. Includes simulation-based approaches, support for multiple decision rules (direction, threshold, ROPE), sequential designs, and visualisation helpers. Methods are based on Kruschke (2014, ISBN:9780124058880) "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan", O'Hagan & Stevens (2001) <doi:10.1177/0272989X0102100307> "Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness", Kruschke (2018) <doi:10.1177/2515245918771304> "Rejecting or Accepting Parameter Values in Bayesian Estimation", Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", and Bürkner (2017) <doi:10.18637/jss.v080.i01> "brms: An R Package for Bayesian Multilevel Models using Stan".
Useful links