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robmixglm  

Robust Generalized Linear Models (GLM) using Mixtures
View on CRAN: Click here


Download and install robmixglm package within the R console
Install from CRAN:
install.packages("robmixglm")

Install from Github:
library("remotes")
install_github("cran/robmixglm")

Install by package version:
library("remotes")
install_version("robmixglm", "1.2-3")



Attach the package and use:
library("robmixglm")
Maintained by
Ken Beath
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-31
Latest Update: 2022-05-09
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.
How to cite:
Ken Beath (2018). robmixglm: Robust Generalized Linear Models (GLM) using Mixtures. R package version 1.2-3, https://cran.r-project.org/web/packages/robmixglm
Previous versions and publish date:
1.0-2 (2018-07-31 12:40), 1.0-3 (2020-04-03 07:20), 1.0-4 (2020-04-17 12:40), 1.1-0 (2020-06-18 07:10), 1.1-1 (2020-08-13 09:20), 1.2-0 (2020-08-26 07:30), 1.2-1 (2021-01-07 23:10), 1.2-2 (2021-07-05 08:10)
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