Mixture Link Regression

The Mixture Link model is a proposed extension to generalized linear models, where the outcome distribution is a finite mixture of J > 1 densities. This package supports Mixture Link computations for Poisson and Binomial outcomes. This includes the distribution functions, numerical maximum likelihood estimation, Bayesian analysis, and quantile residuals to assess model fit.


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install.packages("mixlink")

0.1.5 by Andrew M. Raim, 2 years ago


Browse source code at https://github.com/cran/mixlink


Authors: Andrew M. Raim


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on mvtnorm, numDeriv, Rcpp

Linking to Rcpp, RcppGSL


See at CRAN