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:

Reference manual:

UHM.pdf

Downloads:

Package source:	UHM_0.3.0.tar.gz
Windows binaries:	r-devel: UHM_0.3.0.zip, r-release: UHM_0.3.0.zip, r-oldrel: UHM_0.3.0.zip
macOS binaries:	r-release (arm64): UHM_0.3.0.tgz, r-oldrel (arm64): UHM_0.3.0.tgz, r-release (x86_64): UHM_0.3.0.tgz, r-oldrel (x86_64): UHM_0.3.0.tgz

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