Package: UHM
Type: Package
Title: Unified Zero-Inflated Hurdle Regression Models
Version: 0.3.0
Authors@R: c(
  person("Taban", "Baghfalaki", email = "t.baghfalaki@gmail.com", role =c("cre","aut"), comment = c(ORCID = "0000-0002-2100-4532")),
  person("Mojtaba", "Ganjali", email = "m-Ganjali@sbu.ac.ir", role = "aut", comment = c(ORCID = "0000-0002-8574-1750")),
  person("Narayanaswamy", "Balakrishnan", email = "bala@mcmaster.ca", role = "aut"))
Maintainer: Taban Baghfalaki <t.baghfalaki@gmail.com>
URL: https://github.com/tbaghfalaki/UHM
Description: 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).
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.0
Imports: stats, jagsUI, numbers
Depends: R (>= 4.0.0)
SystemRequirements: JAGS 4.x.y
NeedsCompilation: no
Packaged: 2024-03-08 09:48:28 UTC; taban
Author: Taban Baghfalaki [cre, aut] (<https://orcid.org/0000-0002-2100-4532>),
  Mojtaba Ganjali [aut] (<https://orcid.org/0000-0002-8574-1750>),
  Narayanaswamy Balakrishnan [aut]
Repository: CRAN
Date/Publication: 2024-03-08 21:20:02 UTC
Built: R 4.6.0; ; 2026-04-27 13:19:31 UTC; unix
