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)
        <doi:...>.
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
Config/pak/sysreqs: jags
Repository: https://tbaghfalaki.r-universe.dev
Date/Publication: 2024-10-31 12:13:31 UTC
RemoteUrl: https://github.com/tbaghfalaki/uhm
RemoteRef: HEAD
RemoteSha: 96de13ea202ecba5bcfcede149ceac4779d342dd
NeedsCompilation: no
Packaged: 2026-06-14 10:29:15 UTC; root
Author: Taban Baghfalaki [cre, aut] (ORCID:
    <https://orcid.org/0000-0002-2100-4532>),
  Mojtaba Ganjali [aut] (ORCID: <https://orcid.org/0000-0002-8574-1750>),
  Narayanaswamy Balakrishnan [aut]