Package: bivarhr
Title: Bivariate Hurdle Regression with Bayesian Model Averaging
Version: 0.1.5
Authors@R: 
    person(given = "José Mauricio",
           family = "Gómez Julián",
           email = "isadore.nabi@pm.me",
           role = c("aut", "cre"),
           comment = c(ORCID = "0009-0000-2412-3150"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
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, depmixS4, sensemakr, CausalImpact, bsts, vars, tsDyn,
        openxlsx, ggplot2, bayesplot, Rgraphviz
Additional_repositories: https://stan-dev.r-universe.dev
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-12-16 15:52:20 UTC; ROG
Author: José Mauricio Gómez Julián [aut, cre] (ORCID:
    <https://orcid.org/0009-0000-2412-3150>)
Maintainer: José Mauricio Gómez Julián <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-12-19 20:20:16 UTC
Built: R 4.6.0; ; 2026-04-26 16:42:15 UTC; unix
