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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.
Getting started
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Package details |
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| Author | José Mauricio Gómez Julián [aut, cre] (ORCID: <https://orcid.org/0009-0000-2412-3150>) |
| Maintainer | José Mauricio Gómez Julián <isadore.nabi@pm.me> |
| License | MIT + file LICENSE |
| Version | 0.1.6 |
| Package repository | View on CRAN |
| Installation |
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