mixpoissonreg
1.0.0Mixed Poisson Regression for Overdispersed Count Data
Overview
Fits mixed Poisson regression models (Poisson-Inverse Gaussian or Negative-Binomial) on data sets with response variables being count data. The models can have varying precision parameter, where a linear regression structure (through a link function) is assumed to hold on the precision parameter. The Expectation-Maximization algorithm for both these models (Poisson Inverse Gaussian and Negative Binomial) is an important contribution of this package. Another important feature of this package is the set of functions to perform global and local influence analysis. See Barreto-Souza and Simas (2016) doi:10.1007/s11222-015-9601-6 for further details.
Install
Health
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- NOTE2026-07-1611 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-0712 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 83%
- Return-value docs
- 100%
- References docs
- 50%
Downloads
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Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2021-03-10
- Total releases
- 1 / 5 yrs
- License
- GPL-2 OSI
- Bundled data
- 2.1 KB / 1 file
- Download size
- 3.1 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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