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 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: 2026-10-22 08:50:42 UTC; root Author: Taban Baghfalaki [cre, aut] (), Mojtaba Ganjali [aut] (), Narayanaswamy Balakrishnan [aut] Config/pak/sysreqs: jags Repository: https://cran.r-universe.dev Date/Publication: 2024-03-09 02:28:11 UTC RemoteUrl: https://github.com/cran/UHM RemoteRef: HEAD RemoteSha: 252636fc674de8c8d6573c3e2d4d01e628f4c738