ZIM
Zero-Inflated Models (ZIM) for Count Time Series with Excess Zeros
Analyze count time series with excess zeros. Two types of statistical models are supported: Markov regression by Yang et al. (2013) <doi:10.1016/j.stamet.2013.02.001> and state-space models by Yang et al. (2015) <doi:10.1177/1471082X14535530>. They are also known as observation-driven and parameter-driven models respectively in the time series literature. The functions used for Markov regression or observation-driven models can also be used to fit ordinary regression models with independent data under the zero-inflated Poisson (ZIP) or zero-inflated negative binomial (ZINB) assumption. Besides, the package contains some miscellaneous functions to compute density, distribution, quantile, and generate random numbers from ZIP and ZINB distributions.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | ZIM_1.1.0.tar.gz |
143.4 KiB |
1.1.0 |
rolling linux/noble R-4.5 | ZIM_1.1.0.tar.gz |
143.0 KiB |
1.1.0 |
rolling source/ R- | ZIM_1.1.0.tar.gz |
29.2 KiB |
1.1.0 |
latest linux/jammy R-4.5 | ZIM_1.1.0.tar.gz |
143.4 KiB |
1.1.0 |
latest linux/noble R-4.5 | ZIM_1.1.0.tar.gz |
143.0 KiB |
1.1.0 |
latest source/ R- | ZIM_1.1.0.tar.gz |
29.2 KiB |
1.1.0 |
2026-04-26 source/ R- | ZIM_1.1.0.tar.gz |
29.2 KiB |
1.1.0 |
2026-04-23 source/ R- | ZIM_1.1.0.tar.gz |
29.2 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | ZIM_1.1.0.zip |
145.8 KiB |
1.1.0 |
2025-04-20 source/ R- | ZIM_1.1.0.tar.gz |
29.2 KiB |