CRAN/E | robmixglm

robmixglm

Robust Generalized Linear Models (GLM) using Mixtures

Installation

About

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.

Key Metrics

Version 1.2-3
R ≥ 3.2.0
Published 2022-05-09 690 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks robmixglm results

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Maintainer

Maintainer

Ken Beath

ken@kjbeath.com.au

Authors

Ken Beath

aut / cre

Contacts

Ken Beath

Material

NEWS
Reference manual
Package source

Vignettes

robmixglm: An R Package for the Analysis of Robust Generalized Linear Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

robmixglm archive

Depends

R ≥ 3.2.0

Imports

fastGHQuad
stats
bbmle
VGAM
actuar
Rcpp ≥ 0.12.15
methods
boot
numDeriv
parallel
doParallel
foreach
doRNG
MASS

Suggests

R.rsp
robustbase
lattice
forward

LinkingTo

Rcpp