ZIM
Zero-Inflated Models for Count Time Series Data with Excess Zeros
Science Score: 39.0%
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Low similarity (8.1%) to scientific vocabulary
Repository
Zero-Inflated Models for Count Time Series Data with Excess Zeros
Basic Info
- Host: GitHub
- Owner: mingstat
- Language: R
- Default Branch: master
- Homepage: https://mingstat.github.io/ZIM/
- Size: 15.6 MB
Statistics
- Stars: 8
- Watchers: 1
- Forks: 1
- Open Issues: 2
- Releases: 1
Metadata Files
README.md
Zero-Inflated Models
Overview
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.
Installation
Stable Version
Install stable version from CRAN:
r
install.packages("ZIM")
Development Version
Install development version from GitHub:
```r
install.packages("remotes")
remotes::install_github("mingstat/ZIM") ```
References
M Yang, GKD Zamba, JE Cavanaugh. Markov regression models for count time series with excess zeros: A partial likelihood approach. Statistical Methodology, 2013, 14:26–38. <doi:10.1016/j.stamet.2013.02.001>
M Yang, JE Cavanaugh, GKD Zamba. State-space models for count time series with excess zeros. Statistical Modelling, 2015, 15(1):70–90. <doi:10.1177/1471082X14535530>
Owner
- Name: Ming Yang
- Login: mingstat
- Kind: user
- Repositories: 1
- Profile: https://github.com/mingstat
Statistician & Data Scientist
GitHub Events
Total
- Watch event: 1
- Push event: 3
Last Year
- Watch event: 1
- Push event: 3
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Ming Yang | h****g@g****m | 49 |
Dependencies
- MASS * imports
- TSA * suggests
- dplyr * suggests
- knitr * suggests
- pscl * suggests