Bivariate Hurdle Regression with Bayesian Model Averaging R package bivarhr version 0.1.6 Provides tools for fitting bivariate hurdle negative binomial models with horseshoe priors, Bayesian Model Averaging (BMA) via stacking, and comprehensive causal inference methods including G-computation, transfer entropy, Threshold Vector Autoregressive (TVAR) and Smooth Transition Autoregressive (STAR) models, Dynamic Bayesian Networks (DBN), Hidden Markov Models (HMM), and sensitivity analysis. Software Depends: R (>= 4.1.0) Imports: stats, utils, grDevices, dplyr (>= 1.1.0), rlang, data.table (>= 1.14.0), tidyr, tibble, readr, cli, furrr, future, future.apply, posterior, loo (>= 2.5.0), progressr Suggests: cmdstanr, testthat (>= 3.0.0), MASS, RTransferEntropy, bnlearn, sensemakr, CausalImpact, bsts, vars, tsDyn, openxlsx, Rgraphviz José Mauricio Gómez Julián <isadore.nabi@pm.me> Comprehensive R Archive Network (CRAN) José Mauricio Gómez Julián [aut, cre] (ORCID: <https://orcid.org/0009-0000-2412-3150>) MIT + file LICENSE (https://CRAN.R-project.org/package=bivarhr/LICENSE) 2026-07-06 application/tgz https://CRAN.R-project.org/package=bivarhr doi:10.32614/CRAN.package.bivarhr