DESCRIPTION

Package: mixtools
Version: 2.0.0
Date: 2022-12-04
Title: Tools for Analyzing Finite Mixture Models
Authors@R: 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("Kedai", "Cheng", role = "aut"),
	person("Ryan", "Elmore", role = "ctb"),
	person("Thomas", "Hettmansperger", role = "ctb"),
	person("Hoben", "Thomas", role = "ctb"),
	person("Fengjuan", "Xuan", role = "ctb"))
Depends: R (>= 4.0.0) 
Imports: kernlab, MASS, plotly, scales, segmented, stats, survival
URL: https://github.com/dsy109/mixtools
Description: 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 and the Chan Zuckerberg Initiative: Essential Open Source Software for Science (Grant No. 2020-255193).
License: GPL (>= 2)