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 |
| Author: |
José Mauricio Gómez Julián
 [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 [issues need fixing before 2026-07-18] |