Analyzes finite mixture models for various parametric and semiparametric settings. This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixturesofregressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictordependent mixing proportions, random effects regressions, hierarchical mixturesofexperts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic and model selection criteria). Bayesian estimation of mixturesoflinearregressions models is available as well as a novel data depth method for obtaining credible bands. This package is based upon work supported by the National Science Foundation under Grant No. SES0518772.
Package details 


Author  Derek Young [aut, cre], Tatiana Benaglia [aut], Didier Chauveau [aut], David Hunter [aut], Ryan Elmore [ctb], Thomas Hettmansperger [ctb], Hoben Thomas [ctb], Fengjuan Xuan [ctb] 
Date of publication  20170310 08:50:20 
Maintainer  Derek Young <[email protected]> 
License  GPL (>= 2) 
Version  1.1.0 
Package repository  View on CRAN 
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