UHM: Unified Zero-Inflated Hurdle Regression Models
Run a Gibbs sampler for hurdle models to analyze data showing an excess of zeros, which is common in zero-inflated count and semi-continuous models. The package includes the hurdle model under Gaussian, Gamma, inverse Gaussian, Weibull, Exponential, Beta, Poisson, negative binomial, logarithmic, Bell, generalized Poisson, and binomial distributional assumptions. The models described in Ganjali et al. (2024).
| Version: |
0.3.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
stats, jagsUI, numbers |
| Published: |
2024-03-08 |
| Author: |
Taban Baghfalaki 
[cre, aut],
Mojtaba Ganjali
[aut],
Narayanaswamy Balakrishnan [aut] |
| Maintainer: |
Taban Baghfalaki <t.baghfalaki at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| URL: |
https://github.com/tbaghfalaki/UHM |
| NeedsCompilation: |
no |
| SystemRequirements: |
JAGS 4.x.y |
| CRAN checks: |
UHM results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=UHM
to link to this page.