Package: bivarhr
Title: Bivariate Hurdle Regression with Bayesian Model Averaging
Version: 0.1.6
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
Roxygen: list(markdown = TRUE)
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
Additional_repositories: https://stan-dev.r-universe.dev
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: libicu-dev libx11-dev
Repository: https://isadorenabi.r-universe.dev
Date/Publication: 2026-07-31 20:08:28 UTC
RemoteUrl: https://github.com/IsadoreNabi/bivarhr
RemoteRef: HEAD
RemoteSha: 881bf57510f230372d37675ccc777e2c1adb30cb
NeedsCompilation: no
Packaged: 2026-10-04 10:20:58 UTC; root
Author: José Mauricio Gómez Julián [aut, cre] (ORCID:
    <https://orcid.org/0009-0000-2412-3150>)
Maintainer: José Mauricio Gómez Julián <isadore.nabi@pm.me>