tony-myers.r-universe.dev

[tony-myers] powerbrmsINLA 1.2.0

admyers@aol.com (Tony Myers) — Wed, 03 Jun 2026 09:57:16 GMT

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) "Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness", Kruschke (2018) "Rejecting or Accepting Parameter Values in Bayesian Estimation", Rue et al. (2009) "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", and Bürkner (2017) "brms: An R Package for Bayesian Multilevel Models using Stan".

[tony-myers] qbrms 1.0.1

admyers@aol.com (Tony Myers) — Thu, 04 Dec 2025 00:05:52 GMT

Provides a 'brms'-like interface for fitting Bayesian regression models using 'INLA' (Integrated Nested Laplace Approximations) and 'TMB' (Template Model Builder). The package offers faster model fitting while maintaining familiar 'brms' syntax and output formats. Supports fixed and mixed effects models, multiple probability distributions, conditional effects plots, and posterior predictive checks with summary methods compatible with 'brms'. 'TMB' integration provides fast ordinal regression capabilities. Implements methods adapted from 'emmeans' for marginal means estimation and 'bayestestR' for Bayesian inference assessment. Methods are based on Rue et al. (2009) , Kristensen et al. (2016) , Lenth (2016) , Bürkner (2017) , Makowski et al. (2019) , and Kruschke (2014, ISBN:9780124058880).