# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "robmixglm" in publications use:' type: software license: GPL-2.0-or-later title: 'robmixglm: Robust Generalized Linear Models (GLM) using Mixtures' version: 1.2-4 doi: 10.32614/CRAN.package.robmixglm abstract: 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. authors: - family-names: Beath given-names: Ken email: ken@kjbeath.id.au repository: https://CRAN.R-project.org/package=robmixglm date-released: '2024-09-26' contact: - family-names: Beath given-names: Ken email: ken@kjbeath.id.au