Package: robmixglm Type: Package Title: Robust Generalized Linear Models (GLM) using Mixtures Version: 1.2-8 Date: 2026-07-02 Authors@R: c(person("Ken","Beath",email="ken@kjbeath.id.au", role=c("aut","cre"))) Maintainer: Ken Beath Contact: Ken Beath Author: Ken Beath [aut, cre] Description: Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) . 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. Depends: R(>= 3.2.0) Suggests: R.rsp, robustbase, lattice, forward VignetteBuilder: R.rsp Imports: fastGHQuad, stats, bbmle, VGAM, actuar, Rcpp (>= 0.12.15), methods, boot, numDeriv, parallel, MASS LazyLoad: yes LazyData: yes NeedsCompilation: yes License: GPL (>= 2) LinkingTo: Rcpp Packaged: 2026-07-02 19:35:12 UTC; root Repository: https://kjbeath.r-universe.dev Date/Publication: 2026-07-02 10:00:03 UTC RemoteUrl: https://github.com/cran/robmixglm RemoteRef: HEAD RemoteSha: 05e3bf5e4c40f7ea6951fcc486ef627b330bfdd2