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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | UHM_0.3.0.tar.gz |
83.1 KiB |
0.3.0 |
rolling linux/noble R-4.5 | UHM_0.3.0.tar.gz |
83.0 KiB |
0.3.0 |
rolling source/ R- | UHM_0.3.0.tar.gz |
41.7 KiB |
0.3.0 |
latest linux/jammy R-4.5 | UHM_0.3.0.tar.gz |
83.1 KiB |
0.3.0 |
latest linux/noble R-4.5 | UHM_0.3.0.tar.gz |
83.0 KiB |
0.3.0 |
latest source/ R- | UHM_0.3.0.tar.gz |
41.7 KiB |
0.3.0 |
2026-04-26 source/ R- | UHM_0.3.0.tar.gz |
41.7 KiB |
0.3.0 |
2026-04-23 source/ R- | UHM_0.3.0.tar.gz |
41.7 KiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | UHM_0.3.0.zip |
86.1 KiB |
0.3.0 |
2025-04-20 source/ R- | UHM_0.3.0.tar.gz |
41.7 KiB |