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<head><title>R: Tools for Analyzing Finite Mixture Models</title>
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<h1> Tools for Analyzing Finite Mixture Models
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</div><h2>Documentation for package ‘mixtools’ version 1.1.0</h2>
<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
<li><a href="../NEWS">Package NEWS</a>.</li>
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<h2>Help Pages</h2>
<table width="100%">
<tr><td style="width: 25%;"><a href="boot.comp.html">boot.comp</a></td>
<td>Performs Parametric Bootstrap for Sequentially Testing the Number of Components in Various Mixture Models</td></tr>
<tr><td style="width: 25%;"><a href="boot.se.html">boot.se</a></td>
<td>Performs Parametric Bootstrap for Standard Error Approximation</td></tr>
<tr><td style="width: 25%;"><a href="CO2data.html">CO2data</a></td>
<td>GNP and CO2 Data Set</td></tr>
<tr><td style="width: 25%;"><a href="compCDF.html">compCDF</a></td>
<td>Plot the Component CDF</td></tr>
<tr><td style="width: 25%;"><a href="density.npEM.html">density.npEM</a></td>
<td>Normal kernel density estimate for nonparametric EM output</td></tr>
<tr><td style="width: 25%;"><a href="density.spEM.html">density.spEM</a></td>
<td>Normal kernel density estimate for semiparametric EM output</td></tr>
<tr><td style="width: 25%;"><a href="depth.html">depth</a></td>
<td>Elliptical and Spherical Depth</td></tr>
<tr><td style="width: 25%;"><a href="dmvnorm.html">dmvnorm</a></td>
<td>The Multivariate Normal Density</td></tr>
<tr><td style="width: 25%;"><a href="ellipse.html">ellipse</a></td>
<td>Draw Two-Dimensional Ellipse Based on Mean and Covariance</td></tr>
<tr><td style="width: 25%;"><a href="expRMM_EM.html">expRMM_EM</a></td>
<td>EM algorithm for Reliability Mixture Models (RMM) with right Censoring</td></tr>
<tr><td style="width: 25%;"><a href="flaremixEM.html">flaremixEM</a></td>
<td>EM Algorithm for Mixtures of Regressions with Flare</td></tr>
<tr><td style="width: 25%;"><a href="gammamixEM.html">gammamixEM</a></td>
<td>EM Algorithm for Mixtures of Gamma Distributions</td></tr>
<tr><td style="width: 25%;"><a href="Habituationdata.html">Habituationdata</a></td>
<td>Infant habituation data</td></tr>
<tr><td style="width: 25%;"><a href="hmeEM.html">hmeEM</a></td>
<td>EM Algorithm for Mixtures-of-Experts</td></tr>
<tr><td style="width: 25%;"><a href="ise.npEM.html">ise.npEM</a></td>
<td>Integrated Squared Error for a selected density from npEM output</td></tr>
<tr><td style="width: 25%;"><a href="dmvnorm.html">logdmvnorm</a></td>
<td>The Multivariate Normal Density</td></tr>
<tr><td style="width: 25%;"><a href="logisregmixEM.html">logisregmixEM</a></td>
<td>EM Algorithm for Mixtures of Logistic Regressions</td></tr>
<tr><td style="width: 25%;"><a href="makemultdata.html">makemultdata</a></td>
<td>Produce Cutpoint Multinomial Data</td></tr>
<tr><td style="width: 25%;"><a href="multmixEM.html">multmixEM</a></td>
<td>EM Algorithm for Mixtures of Multinomials</td></tr>
<tr><td style="width: 25%;"><a href="multmixmodel.sel.html">multmixmodel.sel</a></td>
<td>Model Selection Mixtures of Multinomials</td></tr>
<tr><td style="width: 25%;"><a href="mvnormalmixEM.html">mvnormalmixEM</a></td>
<td>EM Algorithm for Mixtures of Multivariate Normals</td></tr>
<tr><td style="width: 25%;"><a href="mvnpEM.html">mvnpEM</a></td>
<td>EM-like Algorithm for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities</td></tr>
<tr><td style="width: 25%;"><a href="NOdata.html">NOdata</a></td>
<td>Ethanol Fuel Data Set</td></tr>
<tr><td style="width: 25%;"><a href="normalmixEM.html">normalmixEM</a></td>
<td>EM Algorithm for Mixtures of Univariate Normals</td></tr>
<tr><td style="width: 25%;"><a href="normalmixEM2comp.html">normalmixEM2comp</a></td>
<td>Fast EM Algorithm for 2-Component Mixtures of Univariate Normals</td></tr>
<tr><td style="width: 25%;"><a href="normalmixMMlc.html">normalmixMMlc</a></td>
<td>EC-MM Algorithm for Mixtures of Univariate Normals with linear constraints</td></tr>
<tr><td style="width: 25%;"><a href="rnormmix.html">normmix.sim</a></td>
<td>Simulate from Mixtures of Normals</td></tr>
<tr><td style="width: 25%;"><a href="rmvnormmix.html">normmixrm.sim</a></td>
<td>Simulate from Multivariate (repeated measures) Mixtures of Normals</td></tr>
<tr><td style="width: 25%;"><a href="npEM.html">npEM</a></td>
<td>Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements</td></tr>
<tr><td style="width: 25%;"><a href="npEM.html">npEMindrep</a></td>
<td>Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements</td></tr>
<tr><td style="width: 25%;"><a href="npEM.html">npEMindrepbw</a></td>
<td>Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements</td></tr>
<tr><td style="width: 25%;"><a href="npMSL.html">npMSL</a></td>
<td>Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements - Maximum Smoothed Likelihood version</td></tr>
<tr><td style="width: 25%;"><a href="plot.mixEM.html">plot.mixEM</a></td>
<td>Various Plots Pertaining to Mixture Models</td></tr>
<tr><td style="width: 25%;"><a href="plot.MCMC.html">plot.mixMCMC</a></td>
<td>Various Plots Pertaining to Mixture Model Output Using MCMC Methods</td></tr>
<tr><td style="width: 25%;"><a href="plot.mvnpEM.html">plot.mvnpEM</a></td>
<td>Plots of Marginal Density Estimates from the mvnpEM Algorithm Output</td></tr>
<tr><td style="width: 25%;"><a href="plot.npEM.html">plot.npEM</a></td>
<td>Plot Nonparametric or Semiparametric EM Output</td></tr>
<tr><td style="width: 25%;"><a href="plot.npEM.html">plot.spEM</a></td>
<td>Plot Nonparametric or Semiparametric EM Output</td></tr>
<tr><td style="width: 25%;"><a href="plot.spEMN01.html">plot.spEMN01</a></td>
<td>Plot mixture pdf for the semiparametric mixture model output by spEMsymlocN01</td></tr>
<tr><td style="width: 25%;"><a href="plotexpRMM.html">plotexpRMM</a></td>
<td>Plot sequences from the EM algorithm for censored mixture of exponentials</td></tr>
<tr><td style="width: 25%;"><a href="plotFDR.html">plotFDR</a></td>
<td>Plot False Discovery Rate (FDR) estimates from output by EM-like strategies</td></tr>
<tr><td style="width: 25%;"><a href="plotseq.npEM.html">plotseq.npEM</a></td>
<td>Plotting sequences of estimates from non- or semiparametric EM-like Algorithm</td></tr>
<tr><td style="width: 25%;"><a href="plotspRMM.html">plotspRMM</a></td>
<td>Plot output from Stochastic EM algorithm for semiparametric scaled mixture of censored data</td></tr>
<tr><td style="width: 25%;"><a href="plotweibullRMM.html">plotweibullRMM</a></td>
<td>Plot sequences from the Stochastic EM algorithm for mixture of Weibull</td></tr>
<tr><td style="width: 25%;"><a href="poisregmixEM.html">poisregmixEM</a></td>
<td>EM Algorithm for Mixtures of Poisson Regressions</td></tr>
<tr><td style="width: 25%;"><a href="print.mvnpEM.html">print.mvnpEM</a></td>
<td>Printing of Results from the mvnpEM Algorithm Output</td></tr>
<tr><td style="width: 25%;"><a href="print.npEM.html">print.npEM</a></td>
<td>Printing non- and semi-parametric multivariate mixture model fits</td></tr>
<tr><td style="width: 25%;"><a href="summary.mvnpEM.html">print.summary.mvnpEM</a></td>
<td>Summarizing Fits for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities</td></tr>
<tr><td style="width: 25%;"><a href="summary.npEM.html">print.summary.npEM</a></td>
<td>Summarizing non- and semi-parametric multivariate mixture model fits</td></tr>
<tr><td style="width: 25%;"><a href="RanEffdata.html">RanEffdata</a></td>
<td>Simulated Data from 2-Component Mixture of Regressions with Random Effects</td></tr>
<tr><td style="width: 25%;"><a href="regcr.html">regcr</a></td>
<td>Add a Confidence Region or Bayesian Credible Region for Regression Lines to a Scatterplot</td></tr>
<tr><td style="width: 25%;"><a href="regmixEM.html">regmixEM</a></td>
<td>EM Algorithm for Mixtures of Regressions</td></tr>
<tr><td style="width: 25%;"><a href="segregmixEM.html">regmixEM.chgpt</a></td>
<td>ECM Algorithm for Mixtures of Regressions with Changepoints</td></tr>
<tr><td style="width: 25%;"><a href="regmixEM.lambda.html">regmixEM.lambda</a></td>
<td>EM Algorithm for Mixtures of Regressions with Local Lambda Estimates</td></tr>
<tr><td style="width: 25%;"><a href="regmixEM.loc.html">regmixEM.loc</a></td>
<td>Iterative Algorithm Using EM Algorithm for Mixtures of Regressions with Local Lambda Estimates</td></tr>
<tr><td style="width: 25%;"><a href="regmixEM.mixed.html">regmixEM.mixed</a></td>
<td>EM Algorithm for Mixtures of Regressions with Random Effects</td></tr>
<tr><td style="width: 25%;"><a href="regmixMH.html">regmixMH</a></td>
<td>Metropolis-Hastings Algorithm for Mixtures of Regressions</td></tr>
<tr><td style="width: 25%;"><a href="regmixmodel.sel.html">regmixmodel.sel</a></td>
<td>Model Selection in Mixtures of Regressions</td></tr>
<tr><td style="width: 25%;"><a href="repnormmixEM.html">repnormmixEM</a></td>
<td>EM Algorithm for Mixtures of Normals with Repeated Measurements</td></tr>
<tr><td style="width: 25%;"><a href="repnormmixmodel.sel.html">repnormmixmodel.sel</a></td>
<td>Model Selection in Mixtures of Normals with Repeated Measures</td></tr>
<tr><td style="width: 25%;"><a href="rexpmix.html">rexpmix</a></td>
<td>Simulate from Mixtures of Exponentials</td></tr>
<tr><td style="width: 25%;"><a href="rmvnorm.html">rmvnorm</a></td>
<td>Simulate from a Multivariate Normal Distribution</td></tr>
<tr><td style="width: 25%;"><a href="rmvnormmix.html">rmvnormmix</a></td>
<td>Simulate from Multivariate (repeated measures) Mixtures of Normals</td></tr>
<tr><td style="width: 25%;"><a href="rnormmix.html">rnormmix</a></td>
<td>Simulate from Mixtures of Normals</td></tr>
<tr><td style="width: 25%;"><a href="RodFramedata.html">RodFramedata</a></td>
<td>Rod and Frame Task Data Set</td></tr>
<tr><td style="width: 25%;"><a href="RTdata.html">RTdata</a></td>
<td>Reaction Time (RT) Data Set</td></tr>
<tr><td style="width: 25%;"><a href="RTdata2.html">RTdata2</a></td>
<td>Reaction Time (RT) Data Set \# 2</td></tr>
<tr><td style="width: 25%;"><a href="rweibullmix.html">rweibullmix</a></td>
<td>Simulate from Mixtures of Weibull distributions</td></tr>
<tr><td style="width: 25%;"><a href="segregmixEM.html">segregmixEM</a></td>
<td>ECM Algorithm for Mixtures of Regressions with Changepoints</td></tr>
<tr><td style="width: 25%;"><a href="spEM.html">spEM</a></td>
<td>Semiparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements</td></tr>
<tr><td style="width: 25%;"><a href="spEMsymloc.html">spEMsymloc</a></td>
<td>Semiparametric EM-like Algorithm for univariate symmetric location mixture</td></tr>
<tr><td style="width: 25%;"><a href="spEMsymlocN01.html">spEMsymlocN01</a></td>
<td>semiparametric EM-like algorithm for univariate mixture in False Discovery Rate (FDR) estimation</td></tr>
<tr><td style="width: 25%;"><a href="spregmix.html">spregmix</a></td>
<td>EM-like Algorithm for Semiparametric Mixtures of Regressions</td></tr>
<tr><td style="width: 25%;"><a href="spRMM_SEM.html">spRMM_SEM</a></td>
<td>Stochastic EM algorithm for semiparametric scaled mixture of censored data</td></tr>
<tr><td style="width: 25%;"><a href="summary.mixEM.html">summary.mixEM</a></td>
<td>Summarizing EM mixture model fits</td></tr>
<tr><td style="width: 25%;"><a href="summary.mvnpEM.html">summary.mvnpEM</a></td>
<td>Summarizing Fits for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities</td></tr>
<tr><td style="width: 25%;"><a href="summary.npEM.html">summary.npEM</a></td>
<td>Summarizing non- and semi-parametric multivariate mixture model fits</td></tr>
<tr><td style="width: 25%;"><a href="summary.spRMM.html">summary.spRMM</a></td>
<td>Summarizing fits from Stochastic EM algorithm for semiparametric scaled mixture of censored data</td></tr>
<tr><td style="width: 25%;"><a href="tauequivnormalmixEM.html">tauequivnormalmixEM</a></td>
<td>Special EM Algorithm for three-component tau equivalence model</td></tr>
<tr><td style="width: 25%;"><a href="test.equality.html">test.equality</a></td>
<td>Performs Chi-Square Tests for Scale and Location Mixtures</td></tr>
<tr><td style="width: 25%;"><a href="test.equality.mixed.html">test.equality.mixed</a></td>
<td>Performs Chi-Square Test for Mixed Effects Mixtures</td></tr>
<tr><td style="width: 25%;"><a href="tonedata.html">tonedata</a></td>
<td>Tone perception data</td></tr>
<tr><td style="width: 25%;"><a href="Waterdata.html">Waterdata</a></td>
<td>Water-Level Task Data Set</td></tr>
<tr><td style="width: 25%;"><a href="Waterdata.html">WaterdataFull</a></td>
<td>Water-Level Task Data Set</td></tr>
<tr><td style="width: 25%;"><a href="weibullRMM_SEM.html">weibullRMM_SEM</a></td>
<td>St-EM algorithm for Reliability Mixture Models (RMM) of Weibull with right Censoring</td></tr>
<tr><td style="width: 25%;"><a href="wquantile.html">wIQR</a></td>
<td>Weighted quantiles</td></tr>
<tr><td style="width: 25%;"><a href="wkde.html">wkde</a></td>
<td>Weighted Univariate (Normal) Kernel Density Estimate</td></tr>
<tr><td style="width: 25%;"><a href="wkde.html">wkde.symm</a></td>
<td>Weighted Univariate (Normal) Kernel Density Estimate</td></tr>
<tr><td style="width: 25%;"><a href="wquantile.html">wquantile</a></td>
<td>Weighted quantiles</td></tr>
</table>
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