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 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.

Version: 1.1.0
Depends: R (≥ 3.2.0)
Imports: MASS, segmented, stats, survival
Published: 2017-03-10
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]
Maintainer: Derek Young <derek.young at uky.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: mixtools citation info
Materials: NEWS
In views: Cluster, Distributions
CRAN checks: mixtools results

Downloads:

Reference manual: mixtools.pdf
Vignettes: mixtools for mixture models
Package source: mixtools_1.1.0.tar.gz
Windows binaries: r-devel: mixtools_1.1.0.zip, r-release: mixtools_1.1.0.zip, r-oldrel: mixtools_1.1.0.zip
OS X El Capitan binaries: r-release: mixtools_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: mixtools_1.1.0.tgz
Old sources: mixtools archive

Reverse dependencies:

Reverse depends: iNOTE, pheno2geno
Reverse imports: ddpcr, enviGCMS, kernplus, l1kdeconv, mem, Seurat, Surrogate
Reverse suggests: gsrc, icamix, rebmix

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