# Tools for Analyzing Finite Mixture Models

## Documentation for package ‘mixtools’ version 2.0.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

B C D E F G H I L M N P R S T W

## -- B --

boot.comp | Performs Parametric Bootstrap for Sequentially Testing the Number of Components in Various Mixture Models
boot.se | Performs Parametric Bootstrap for Standard Error Approximation

## -- C --

CO2data | GNP and CO2 Data Set
compCDF | Plot the Component CDF

## -- D --

density.npEM | Normal kernel density estimate for nonparametric EM output
density.spEM | Normal kernel density estimate for semiparametric EM output
depth | Elliptical and Spherical Depth
dmvnorm | The Multivariate Normal Density

## -- E --

ellipse | Draw Two-Dimensional Ellipse Based on Mean and Covariance
expRMM_EM | EM algorithm for Reliability Mixture Models (RMM) with right Censoring

## -- F --

flaremixEM | EM Algorithm for Mixtures of Regressions with Flare

## -- G --

gammamixEM | EM Algorithm for Mixtures of Gamma Distributions

## -- H --

Habituationdata | Infant habituation data
hmeEM | EM Algorithm for Mixtures-of-Experts

## -- I --

ise.npEM | Integrated Squared Error for a selected density from npEM output

## -- L --

logdmvnorm | The Multivariate Normal Density
logisregmixEM | EM Algorithm for Mixtures of Logistic Regressions

## -- M --

makemultdata | Produce Cutpoint Multinomial Data
mixturegram | Mixturegrams
multmixEM | EM Algorithm for Mixtures of Multinomials
multmixmodel.sel | Model Selection Mixtures of Multinomials
mvnormalmixEM | EM Algorithm for Mixtures of Multivariate Normals
mvnpEM | EM-like Algorithm for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities

## -- N --

NOdata | Ethanol Fuel Data Set
normalmixEM | EM Algorithm for Mixtures of Univariate Normals
normalmixEM2comp | Fast EM Algorithm for 2-Component Mixtures of Univariate Normals
normalmixMMlc | EC-MM Algorithm for Mixtures of Univariate Normals with linear constraints
normmix.sim | Simulate from Mixtures of Normals
normmixrm.sim | Simulate from Multivariate (repeated measures) Mixtures of Normals
npEM | Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements
npEMindrep | Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements
npEMindrepbw | Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements
npMSL | Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements - Maximum Smoothed Likelihood version

## -- P --

plot.mixEM | Various Plots Pertaining to Mixture Models
plot.mixMCMC | Various Plots Pertaining to Mixture Model Output Using MCMC Methods
plot.mvnpEM | Plots of Marginal Density Estimates from the mvnpEM Algorithm Output
plot.npEM | Plot Nonparametric or Semiparametric EM Output
plot.spEM | Plot Nonparametric or Semiparametric EM Output
plot.spEMN01 | Plot mixture pdf for the semiparametric mixture model output by spEMsymlocN01
plotexpRMM | Plot sequences from the EM algorithm for censored mixture of exponentials
plotFDR | Plot False Discovery Rate (FDR) estimates from output by EM-like strategies
plotly_compCDF | Plot the Component CDF using 'plotly'
plotly_ellipse | Draw Two-Dimensional Ellipse Based on Mean and Covariance using 'plotly'
plotly_expRMM | Plot sequences from the EM algorithm for censored mixture of exponentials using 'plotly'
plotly_FDR | Plot False Discovery Rate (FDR) estimates from output by EM-like strategies using 'plotly'
plotly_ise.npEM | Visualization of Integrated Squared Error for a selected density from npEM output using 'plotly'
plotly_mixEM | Visualization of output of 'mixEM' function using 'plotly'
plotly_mixMCMC | Various Plots Pertaining to Mixture Model Output Using MCMC Methods using 'plotly'
plotly_mixturegram | Mixturegrams
plotly_npEM | Plot Nonparametric or Semiparametric EM Output
plotly_seq.npEM | Plotting sequences of estimates from non- or semiparametric EM-like Algorithm using 'plotly'
plotly_spEM | Plot Nonparametric or Semiparametric EM Output
plotly_spEMN01 | Plot mixture pdf for the semiparametric mixture model output by 'spEMsymlocN01' using 'plotly'.
plotly_spRMM | Plot output from Stochastic EM algorithm for semiparametric scaled mixture of censored data using 'plotly'.
plotly_weibullRMM | Plot sequences from the Stochastic EM algorithm for mixture of Weibull using 'plotly'
plotseq.npEM | Plotting sequences of estimates from non- or semiparametric EM-like Algorithm
plotspRMM | Plot output from Stochastic EM algorithm for semiparametric scaled mixture of censored data
plotweibullRMM | Plot sequences from the Stochastic EM algorithm for mixture of Weibull
poisregmixEM | EM Algorithm for Mixtures of Poisson Regressions
post.beta | Summary of Posterior Regression Coefficients in Mixtures of Random Effects Regressions
print.mvnpEM | Printing of Results from the mvnpEM Algorithm Output
print.npEM | Printing non- and semi-parametric multivariate mixture model fits
print.summary.mvnpEM | Summarizing Fits for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities
print.summary.npEM | Summarizing non- and semi-parametric multivariate mixture model fits

## -- R --

RanEffdata | Simulated Data from 2-Component Mixture of Regressions with Random Effects
regcr | Add a Confidence Region or Bayesian Credible Region for Regression Lines to a Scatterplot
regmixEM | EM Algorithm for Mixtures of Regressions
regmixEM.chgpt | ECM Algorithm for Mixtures of Regressions with Changepoints
regmixEM.lambda | EM Algorithm for Mixtures of Regressions with Local Lambda Estimates
regmixEM.loc | Iterative Algorithm Using EM Algorithm for Mixtures of Regressions with Local Lambda Estimates
regmixEM.mixed | EM Algorithm for Mixtures of Regressions with Random Effects
regmixMH | Metropolis-Hastings Algorithm for Mixtures of Regressions
regmixmodel.sel | Model Selection in Mixtures of Regressions
repnormmixEM | EM Algorithm for Mixtures of Normals with Repeated Measurements
repnormmixmodel.sel | Model Selection in Mixtures of Normals with Repeated Measures
rexpmix | Simulate from Mixtures of Exponentials
rmvnorm | Simulate from a Multivariate Normal Distribution
rmvnormmix | Simulate from Multivariate (repeated measures) Mixtures of Normals
rnormmix | Simulate from Mixtures of Normals
RodFramedata | Rod and Frame Task Data Set
RTdata | Reaction Time (RT) Data Set
RTdata2 | Reaction Time (RT) Data Set (No. 2)
rweibullmix | Simulate from Mixtures of Weibull distributions

## -- S --

segregmixEM | ECM Algorithm for Mixtures of Regressions with Changepoints
spEM | Semiparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements
spEMsymloc | Semiparametric EM-like Algorithm for univariate symmetric location mixture
spEMsymlocN01 | semiparametric EM-like algorithm for univariate mixture in False Discovery Rate (FDR) estimation
spregmix | EM-like Algorithm for Semiparametric Mixtures of Regressions
spRMM_SEM | Stochastic EM algorithm for semiparametric scaled mixture of censored data
summary.mixEM | Summarizing EM mixture model fits
summary.mvnpEM | Summarizing Fits for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities
summary.npEM | Summarizing non- and semi-parametric multivariate mixture model fits
summary.spRMM | Summarizing fits from Stochastic EM algorithm for semiparametric scaled mixture of censored data

## -- T --

tauequivnormalmixEM | Special EM Algorithm for three-component tau equivalence model
test.equality | Performs Chi-Square Tests for Scale and Location Mixtures
test.equality.mixed | Performs Chi-Square Test for Mixed Effects Mixtures
tonedata | Tone perception data

## -- W --

Waterdata | Water-Level Task Data Set
WaterdataFull | Water-Level Task Data Set
weibullRMM_SEM | St-EM algorithm for Reliability Mixture Models (RMM) of Weibull with right Censoring
wIQR | Weighted quantiles
wkde | Weighted Univariate (Normal) Kernel Density Estimate
wkde.symm | Weighted Univariate (Normal) Kernel Density Estimate
wquantile | Weighted quantiles