# r-zim 1.1.0

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 and state-space models. 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. The package also contains miscellaneous functions to compute density, distribution, quantile, and generate random numbers from ZIP and ZINB distributions.

**Website:**https://github.com/biostatstudio/ZIM**Licenses:**GPL 3**Package source:**gnu/packages/cran.scm**Builds:**See build status**Issues:**See known issues

## Installation

Install `r-zim 1.1.0`

as follows:

guix install r-zim@1.1.0

Or install the latest version:

guix install r-zim

You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the `guix shell`

documentation for more information.