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 statespace models by Yang et al. (2015) <doi:10.1177/1471082X14535530>. They are also known as observationdriven and parameterdriven models respectively in the time series literature. The functions used for Markov regression or observationdriven models can also be used to fit ordinary regression models with independent data under the zeroinflated Poisson (ZIP) or zeroinflated 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.
Package details 


Author  Ming Yang [aut, cre], Gideon Zamba [aut], Joseph Cavanaugh [aut] 
Maintainer  Ming Yang <[email protected]> 
License  GPL3 
Version  1.1.0 
URL  https://github.com/biostatstudio/ZIM 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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