Package: mixtools 2.0.0
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).
Authors:
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mixtools.pdf |mixtools.html✨
mixtools/json (API)
NEWS
# Install 'mixtools' in R: |
install.packages('mixtools', repos = c('https://dsy109.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dsy109/mixtools/issues
- CO2data - GNP and CO2 Data Set
- Habituationdata - Infant habituation data
- NOdata - Ethanol Fuel Data Set
- RTdata - Reaction Time (RT) Data Set
- RTdata2 - Reaction Time
- RanEffdata - Simulated Data from 2-Component Mixture of Regressions with Random Effects
- RodFramedata - Rod and Frame Task Data Set
- Waterdata - Water-Level Task Data Set
- WaterdataFull - Water-Level Task Data Set
- tonedata - Tone perception data
mixture-modelsmixture-of-expertssemiparametric-regression
Last updated 5 months agofrom:9d58dc5a2c. Checks:OK: 4 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win-x86_64 | NOTE | Nov 14 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 14 2024 |
R-4.4-win-x86_64 | NOTE | Nov 14 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 14 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 14 2024 |
R-4.3-win-x86_64 | OK | Nov 14 2024 |
R-4.3-mac-x86_64 | OK | Nov 14 2024 |
R-4.3-mac-aarch64 | OK | Nov 14 2024 |
Exports:aug.xboot.compboot.secompCDFddirichletdensity.npEMdensity.spEMdepthdexpmixtdmvnormellipseexpRMM_EMflaremix.initflaremixEMgammamix.initgammamixEMhmeEMise.npEMlambdalambda.pertldmultlogdmvnormlogisregmix.initlogisregmixEMmakemultdatamatsqrtmixturegrammultmix.initmultmixEMmultmixmodel.selmvnormalmix.initmvnormalmixEMmvnpEMnormalmix.initnormalmixEMnormalmixEM2compnormalmixMMlcnormmix.simnormmixrm.simnpEMnpEMindrepnpEMindrepbwnpMSLparse.constraintspermplot.mixEMplot.mixMCMCplot.mvnpEMplot.npEMplot.spEMplot.spEMN01plotexpRMMplotFDRplotly_compCDFplotly_ellipseplotly_expRMMplotly_FDRplotly_ise.npEMplotly_mixEMplotly_mixMCMCplotly_mixturegramplotly_npEMplotly_post.betaplotly_seq.npEMplotly_spEMN01plotly_spRMMplotly_weibullRMMplotseqplotseq.npEMplotspRMMplotweibullRMMpoisregmix.initpoisregmixEMpost.betaprint.mvnpEMprint.npEMprint.summary.mvnpEMprint.summary.npEMregcrregmix.initregmix.lambda.initregmix.mixed.initregmixEMregmixEM.lambdaregmixEM.locregmixEM.mixedregmixMHregmixmodel.selrepnormmix.initrepnormmixEMrepnormmixmodel.selrexpmixrlnormscalemixrmvnormrmvnormmixrnormmixrweibullmixsegregmix.initsegregmixEMspEMspEMsymlocspEMsymlocN01spregmixspRMM_SEMsummary.mixEMsummary.mvnpEMsummary.npEMsummary.spRMMtauequivnormalmixEMtest.equalitytest.equality.mixedtry.flareweibullRMM_SEMwIQRwkdewquantile
Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml