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), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic and model selection criteria).  Bayesian estimation of mixtures-of-linear-regressions 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. SES-0518772.

c(person("Derek", "Young", role = c("aut", "cre"),
email = "derek.young@uky.edu", comment = c(ORCID = "0000-0002-3048-3803")),
person("Tatiana", "Benaglia", role = "aut"),
person("Didier", "Chauveau", role = "aut"),
person("David", "Hunter", role = "aut"),
person("Ryan", "Elmore", role = "ctb"),
person("Thomas", "Hettmansperger", role = "ctb"),
person("Hoben", "Thomas", role = "ctb"),
person("Fengjuan", "Xuan", role = "ctb"))
kernlab, MASS, segmented, stats, survival
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), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic, mixturegrams, and model selection criteria).  Bayesian estimation of mixtures-of-linear-regressions 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. SES-0518772.
Derek Young [aut, cre] (<https://orcid.org/0000-0002-3048-3803>),
Tatiana Benaglia [aut],
Didier Chauveau [aut],
David Hunter [aut],
Ryan Elmore [ctb],
Thomas Hettmansperger [ctb],
Hoben Thomas [ctb],
Fengjuan Xuan [ctb]