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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.
Version: | 1.2-3 |
Depends: | R (≥ 3.2.0) |
Imports: | fastGHQuad, stats, bbmle, VGAM, actuar, Rcpp (≥ 0.12.15), methods, boot, numDeriv, parallel, doParallel, foreach, doRNG, MASS |
LinkingTo: | Rcpp |
Suggests: | R.rsp, robustbase, lattice, forward |
Published: | 2022-05-09 |
DOI: | 10.32614/CRAN.package.robmixglm |
Author: | Ken Beath [aut, cre] |
Maintainer: | Ken Beath <ken at kjbeath.com.au> |
Contact: | Ken Beath <ken@kjbeath.com.au> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | robmixglm results |
Reference manual: | robmixglm.pdf |
Vignettes: |
robmixglm: An R Package for the Analysis of Robust Generalized Linear Models |
Package source: | robmixglm_1.2-3.tar.gz |
Windows binaries: | r-devel: robmixglm_1.2-3.zip, r-release: robmixglm_1.2-3.zip, r-oldrel: robmixglm_1.2-3.zip |
macOS binaries: | r-release (arm64): robmixglm_1.2-3.tgz, r-oldrel (arm64): robmixglm_1.2-3.tgz, r-release (x86_64): robmixglm_1.2-3.tgz, r-oldrel (x86_64): robmixglm_1.2-3.tgz |
Old sources: | robmixglm archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.