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UHM (version 0.3.0)

Unified Zero-Inflated Hurdle Regression Models

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).

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Install

install.packages('UHM')

Monthly Downloads

183

Version

0.3.0

License

GPL (>= 2.0)

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Maintainer

Taban Baghfalaki

Last Published

March 8th, 2024

Functions in UHM (0.3.0)

dataP

Simulated data from zero-inflated exponential regression model
Prediction

Prediction of new observations
SummaryZIHR

Summary of ZIHR
ZIHR

Zero-inflation hurdle regression models
dataI

Simulated data from zero-inflated exponential regression model
dataB

Simulated data from zero-inflated Beta regression model
UHM

UHM Package
dataC

Simulated data from zero-inflated Gaussian regression model
dataD

Simulated data from zero-inflated Poisson regression model