robmixglm (1.0-2)

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Robust Generalized Linear Models (GLM) using Mixtures.

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.

Maintainer: Ken Beath
Author(s): Ken Beath [aut, cre]

License: GPL (>= 2)

Uses: actuar, bbmle, boot, fastGHQuad, MASS, numDeriv, Rcpp, VGAM, R.rsp, forward, lattice, robustbase

Released over 1 year ago.



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