bivarhr: Bivariate Hurdle Regression with Bayesian Model Averaging

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.

Version: 0.1.5
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
Published: 2025-12-19
DOI: 10.32614/CRAN.package.bivarhr (may not be active yet)
Author: José Mauricio Gómez Julián ORCID iD [aut, cre]
Maintainer: José Mauricio Gómez Julián <isadore.nabi at pm.me>
License: MIT + file LICENSE
NeedsCompilation: no
Additional_repositories: https://stan-dev.r-universe.dev
Materials: README, NEWS
CRAN checks: bivarhr results

Documentation:

Reference manual: bivarhr.html , bivarhr.pdf

Downloads:

Package source: bivarhr_0.1.5.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): bivarhr_0.1.5.tgz, r-oldrel (x86_64): bivarhr_0.1.5.tgz

Linking:

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