zic
Bayesian Inference for Zero-Inflated Count Models
Provides MCMC algorithms for the analysis of zero-inflated count models. The case of stochastic search variable selection (SVS) is also considered. All MCMC samplers are coded in C++ for improved efficiency. A data set considering the demand for health care is provided.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.9.1 |
rolling linux/jammy R-4.5 | zic_0.9.1.tar.gz |
113.4 KiB |
0.9.1 |
rolling linux/noble R-4.5 | zic_0.9.1.tar.gz |
116.4 KiB |
0.9.1 |
rolling source/ R- | zic_0.9.1.tar.gz |
31.1 KiB |
0.9.1 |
latest linux/jammy R-4.5 | zic_0.9.1.tar.gz |
113.4 KiB |
0.9.1 |
latest linux/noble R-4.5 | zic_0.9.1.tar.gz |
116.4 KiB |
0.9.1 |
latest source/ R- | zic_0.9.1.tar.gz |
31.1 KiB |
0.9.1 |
2026-04-26 source/ R- | zic_0.9.1.tar.gz |
31.1 KiB |
0.9.1 |
2026-04-23 source/ R- | zic_0.9.1.tar.gz |
31.1 KiB |
0.9.1 |
2026-04-09 windows/windows R-4.5 | zic_0.9.1.zip |
430.9 KiB |
0.9.1 |
2025-04-20 source/ R- | zic_0.9.1.tar.gz |
31.1 KiB |