https://github.com/fcorowe/countdata_modelling

Quick Guide for Modelling Count Data in A Multilevel Framework
https://github.com/fcorowe/countdata_modelling

glmmtmb lme4 negative-binomial-regression poisson-regression r-stats

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Quick Guide for Modelling Count Data in A Multilevel Framework

• Host: GitHub
• URL: https://github.com/fcorowe/countdata_modelling
• Owner: fcorowe
• License: gpl-3.0
• Created: 2021-01-21T23:01:01.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-03-06T23:08:04.000Z (over 2 years ago)
• Last Synced: 2024-08-01T00:44:21.742Z (3 months ago)
• Topics: glmmtmb, lme4, negative-binomial-regression, poisson-regression, r-stats
• Language: HTML
• Homepage: https://fcorowe.github.io/countdata_modelling/
• Size: 1.22 MB
• Stars: 16
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# A Quick Guide: Modelling Count Data in R: A Multilevel Framework

[Francisco Rowe](http://www.franciscorowe.com) [[`@fcorowe`](http://twitter.com/fcorowe)]1

1 *Geographic Data Science Lab, University of Liverpool, Liverpool, United Kingdom*

*Correspondence*:

[email protected]

This repository contains a notebook which offers a quick practical guide, to illustrate how to estimate a count data regression model using four different variants: Poisson, Zero-inflated Poisson, Negative Binomial and Zero-inflated Negative Binomial models. It is not supposed to be a comprehensive guide but it is an starting point if you don't know what R packages and how relevant functions can be used to estimate these models.

## Citation

If you use the material, code or processed data, you can give appropriate attribution by using the following citation:

```

@article{rowe_gds21,

  author = {Francisco Rowe},

  title = {A Quick Guide: Modelling Count Data in R: A Multilevel Framework},

  year = 2022,

  url = {fcorowe.github.io/countdata_modelling/},

  doi = {DOI 10.17605/OSF.IO/RGWH2},

}

```