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.


Reference manual

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0.1.5 by Andrew M. Raim, 4 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