Package: robmixglm
Type: Package
Title: Robust Generalized Linear Models (GLM) using Mixtures
Version: 1.0-4
Date: 2020-04-16
Authors@R: c(person("Ken","Beath",email="ken.beath@mq.edu.au", role=c("aut","cre")))
Maintainer: Ken Beath <ken.beath@mq.edu.au>
Contact: Ken Beath <ken.beath@mq.edu.au>
Author: Ken Beath [aut, cre]
Description: 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.
Depends: R(>= 3.2.0)
Suggests: R.rsp, robustbase, lattice, forward
VignetteBuilder: R.rsp
Imports: fastGHQuad, stats, bbmle, MASS, VGAM, actuar, Rcpp (>=
        0.12.15), methods, boot, numDeriv
LazyLoad: yes
LazyData: yes
NeedsCompilation: yes
License: GPL (>= 2)
LinkingTo: Rcpp
Packaged: 2020-04-17 00:22:40 UTC; kjbeath1
Repository: CRAN
Date/Publication: 2020-04-17 10:40:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 00:10:57 UTC; windows
Archs: i386, x64
