Changes in version 1.2.0 (2026-06-02) Major additions - New compute_assurance() function for unconditional Bayesian assurance (O'Hagan & Stevens, 2001) computed as a weighted average of conditional power over a design prior on the effect size. - New assurance_prior_weights() convenience wrapper for constructing normalised design-prior weights (normal, uniform, beta) over an effect grid. - New decide_sample_size() function with both assurance mode (design prior) and conditional mode for recommending sample sizes from simulation output. - New validate_inla_vs_brms() function for spot-checking INLA posterior estimates against brms/Stan. - Print methods for brms_inla_power, powerbrmsINLA_assurance, and powerbrmsINLA_sample_size objects. Plotting - Added plot_assurance_curve() and plot_assurance_with_robustness() for unconditional assurance visualisation. - Added plot_bf_assurance_curve_smooth(), plot_bf_assurance_curve(), plot_bf_expected_evidence(), and plot_bf_heatmap() for Bayes factor visualisation. - Added plot_decision_assurance_curve(), plot_decision_threshold_contour(), and add_decision_overlay() for decision-rule visualisation. - Added plot_design_prior() for visualising design priors. - Added plot_interaction_surface() for multi-effect grid visualisation. - Added plot_power_contour(), plot_power_heatmap(), and plot_power_assurance_overlay() for conditional power visualisation. - Added plot_precision_assurance_curve() and plot_precision_fan_chart(). Engine improvements - brms_inla_power() now supports multi-effect grids (data.frame effect_grid), brms-to-INLA prior translation with full audit trail, marginal-likelihood Bayes factors (bf_method = "marglik"), and automatic INLA thread detection. - brms_inla_power_sequential() rewritten with multi-effect support and prior translation. - brms_inla_power_two_stage() now uses the modernised engine internally. Bug fixes and housekeeping - Removed duplicate internal function definitions (.to_inla_family(), .scale_fill_viridis_discrete()). - Added requireNamespace("MASS") guard for negative binomial data generation. - Expanded .Rbuildignore to exclude .claude/, .DS_Store, .Rcheck/, and .tar.gz artefacts. - New test suites for assurance computation, decision helpers, prior bridge, and plotting functions. Changes in version 1.1.1 (2025-11-16) - error_sd and group_sd now accept distributional specifications (halfnormal, lognormal, uniform) for variance-uncertainty integration; new validate_sd_spec() helper exported. - Added validation test suite (test-validation-classical.R, test-validation-bayesassurance.R) and accompanying vignette benchmarking against power.t.test() and bayesassurance::assurance_nd_na(). - CRAN housekeeping: exclude .github, LICENSE.md, and cran-comments.md from the source tarball via .Rbuildignore. Changes in version 1.1.0 - Added brms_inla_power_parallel() for parallel simulations. - Added decide_sample_size() and add_decision_overlay() helpers. - Added new Bayes factor and precision assurance plotting functions.