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
r-zim 1.1.0 as follows:
guix install firstname.lastname@example.org
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.