Package for Bayesian model averaging and variable selection for linear models,
        generalized linear models and survival models (cox
        regression).

Used for Bayesian mediation analysis based on Bayesian additive Regression Trees (BART).
	The analysis method is described in Yu and Li (2025) "Mediation Analysis with Bayesian Additive Regression Trees", submitted for publication.

Toolkit for Bayesian estimation of the dependence structure in multivariate extreme value parametric models, following Sabourin and Naveau (2014) <doi:10.1016/j.csda.2013.04.021> and Sabourin, Naveau and Fougeres (2013) <doi:10.1007/s10687-012-0163-0>.

Multivariate tool for analyzing genome-wide association
    study results in the form of univariate summary statistics. The 
    goal of 'bmass' is to comprehensively test all possible multivariate
    models given the phenotypes and datasets provided. Multivariate
    models are determined by assigning each phenotype to being either
    Unassociated (U), Directly associated (D) or Indirectly associated
    (I) with the genetic variant of interest. Test results for each model 
    are presented in the form of Bayes factors, thereby allowing direct
    comparisons between models. The underlying framework implemented
    here is based on the modeling developed in "A Unified Framework 
    for Association Analysis with Multiple Related Phenotypes",
    M. Stephens (2013) <doi:10.1371/journal.pone.0065245>.

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)
     <doi:10.1177/0962280220922256>, Kavelaars, Mulder, and Kaptein (2024)
     <doi:10.1080/00273171.2024.2337340>, and Kavelaars, Mulder, and Kaptein (2023)
     <doi:10.1186/s12874-023-02034-z>.
     An interactive shiny app to perform sample size computations is available.