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).
- Version0.3.0
- R version≥ 4.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/08/2024
Team
Taban Baghfalaki
Mojtaba Ganjali
Narayanaswamy Balakrishnan
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports3 packages