bivarhr-package

bivarhr

Implements bivariate hurdle regression models using Stan/CmdStan
with horseshoe priors, Bayesian Model Averaging via stacking, and
comprehensive causal inference methods.

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.

José Mauricio Gómez Julián

Bivariate Hurdle Regression with Bayesian Model Averaging

bivarhr-package function

Maintainer: José Mauricio Gómez Julián <a href="/link/isadore.nabi%40pm.me?package=bivarhr&version=0.1.5" data-mini-rdoc="bivarhr::isadore.nabi@pm.me">isadore.nabi@pm.me</a> (<a href="https://orcid.org/0009-0000-2412-3150">ORCID</a>)

Author

bivarhr: Bivariate Hurdle Regression — bivarhr-package

Maintainer: José Mauricio Gómez Julián <a href='mailto:isadore.nabi@pm.me'>isadore.nabi@pm.me</a> (<a href='https://orcid.org/0009-0000-2412-3150'>ORCID</a>)

bivarhr-package: bivarhr: Bivariate Hurdle Regression

Description

Arguments

Author