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UHM  

Unified Zero-Inflated Hurdle Regression Models
View on CRAN: Click here


Download and install UHM package within the R console
Install from CRAN:
install.packages("UHM")

Install from Github:
library("remotes")
install_github("cran/UHM")

Install by package version:
library("remotes")
install_version("UHM", "0.3.0")



Attach the package and use:
library("UHM")
Maintained by
Taban Baghfalaki
[Scholar Profile | Author Map]
First Published: 2024-03-08
Latest Update: 2024-03-08
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).
How to cite:
Taban Baghfalaki (2024). UHM: Unified Zero-Inflated Hurdle Regression Models. R package version 0.3.0, https://cran.r-project.org/web/packages/UHM. Accessed 24 Feb. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for UHM
Functions, R codes and Examples using the UHM R package
Full UHM package functions and examples
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