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bivarhr  

Bivariate Hurdle Regression with Bayesian Model Averaging
View on CRAN: Click here


Download and install bivarhr package within the R console
Install from CRAN:
install.packages("bivarhr")

Install from Github:
library("remotes")
install_github("cran/bivarhr")

Install by package version:
library("remotes")
install_version("bivarhr", "0.1.5")



Attach the package and use:
library("bivarhr")
Maintained by
José Mauricio Gómez Julián
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-19
Latest Update: 2025-12-19
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.
How to cite:
José Mauricio Gómez Julián (2025). bivarhr: Bivariate Hurdle Regression with Bayesian Model Averaging. R package version 0.1.5, https://cran.r-project.org/web/packages/bivarhr. Accessed 03 Jul. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for bivarhr
Functions, R codes and Examples using the bivarhr R package
Full bivarhr package functions and examples
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