mixtools: Tools for Analyzing Finite Mixture Models

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).

Package details

AuthorDerek Young [aut, cre] (<https://orcid.org/0000-0002-3048-3803>), Tatiana Benaglia [aut], Didier Chauveau [aut], David Hunter [aut], Kedai Cheng [aut], Ryan Elmore [ctb], Thomas Hettmansperger [ctb], Hoben Thomas [ctb], Fengjuan Xuan [ctb]
MaintainerDerek Young <derek.young@uky.edu>
LicenseGPL (>= 2)
Version2.0.0
URL https://github.com/dsy109/mixtools
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mixtools")

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mixtools documentation built on Dec. 5, 2022, 5:23 p.m.