bmco: Bayesian Analysis for Multivariate Categorical Outcomes
Abstract
Provides Bayesian methods for comparing groups on multiple binary outcomes. Includes basic tests using multivariate Bernoulli distributions, subgroup analysis via generalized linear models, and multilevel models for clustered data. For statistical underpinnings, see Kavelaars, Mulder, and Kaptein (2020) , Kavelaars, Mulder, and Kaptein (2024) , and Kavelaars, Mulder, and Kaptein (2023) . An interactive shiny app to perform sample size computations is available.
Fields of Study & Subjects
Statistical Methods and Bayesian Inference
Statistical Distribution Estimation and Applications
Statistical Methods in Clinical Trials
Publication details
- Publication date
- 10 March 2026
- Language
- EN
- Document type
- Dataset