robmixglm
Robust Generalized Linear Models (GLM) using Mixtures
Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) doi:10.1080/02664763.2017.1414164. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
- Version1.2-4
- R version≥ 3.2.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/27/2024
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Ken Beath
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