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.

Package details

AuthorKen Beath [aut, cre]
MaintainerKen Beath <[email protected]>
LicenseGPL (>= 2)
Version1.0-2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("robmixglm")

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robmixglm documentation built on May 2, 2019, 1:43 p.m.