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.
Version: |
1.2.0 |
Depends: |
R (≥ 3.5.0) |
Imports: |
kernlab, MASS, segmented, stats, survival |
Published: |
2020-02-07 |
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 |
Documentation:
Downloads:
Reverse dependencies:
Reverse depends: |
MisRepARMA |
Reverse imports: |
AFM, AUCell, biodosetools, CBEA, CEDA, CiteFuse, ddpcr, DSWE, EntropyMCMC, enviGCMS, gemini, genomicInstability, ggrasp, IMIX, IRISFGM, kernplus, l1kdeconv, MiRKAT, Motif2Site, opGMMassessment, pRoloc, QuantileGH, RprobitB, RTN, scapGNN, scClassify, scone, sojourner, Surrogate, viper, ZetaSuite, ztpln |
Reverse suggests: |
BSL, FCPS, latrend, mable, plotGMM, plotmm, Seurat |
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