![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Package List]](../../../doc/html/left.jpg){kind=small}
![[Top]](../../../doc/html/up.jpg){kind=small}
| 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 |
| CO2data | GNP and CO2 Data Set |
| compCDF | Plot the Component CDF |
| density.npEM | Normal kernel density estimate for nonparametric EM output |
| depth | Elliptical and Spherical Depth |
| dmvnorm | The Multivariate Normal Density |
| ellipse | Draw Two-Dimensional Ellipse Based on Mean and Covariance |
| flaremixEM | EM Algorithm for Mixtures of Regressions with Flare |
| hmeEM | EM Algorithm for Mixtures-of-Experts |
| ise.npEM | Integrated Squared Error for a selected density from npEM output |
| logdmvnorm | The Multivariate Normal Density |
| logisregmixEM | EM Algorithm for Mixtures of Logistic Regressions |
| makemultdata | Produce Cutpoint Multinomial Data |
| multmixEM | EM Algorithm for Mixtures of Multinomials |
| multmixmodel.sel | Model Selection Mixtures of Multinomials |
| mvnormalmixEM | EM Algorithm for Mixtures of Multivariate Normals |
| NOdata | Ethanol Fuel Data Set |
| normalmixEM | EM Algorithm for Mixtures of Univariate Normals |
| normalmixEM2comp | Fast EM Algorithm for 2-Component Mixtures of Univariate Normals |
| normmix.sim | Simulate from Mixtures of Normals |
| normmixrm.sim | Simulate from Multivariate (repeated measures) Mixtures of Normals |
| npEMindrep | Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements |
| plot.mixEM | Various Plots Pertaining to Mixture Models |
| plot.mixMCMC | Various Plots Pertaining to Mixture Model Output Using MCMC Methods |
| plot.npEM | Plot Nonparametric EM output |
| plotseq | Plotting sequences of estimates from non- or semiparametric EM-like Algorithm |
| poisregmixEM | EM Algorithm for Mixtures of Poisson Regressions |
| print.npEM | Printing non- and semi-parametric multivariate mixture model fits |
| print.summary.npEM | Summarizing non- and semi-parametric multivariate mixture model fits |
| 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 | EM Algorithm for Mixtures of Regressions with a Changepoint |
| 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 |
| 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 # 2 |
| spEMsymloc | Semiparametric EM-like Algorithm for univariate symmetric location mixture |
| summary.npEM | Summarizing non- and semi-parametric multivariate mixture model fits |
| test.equality | Performs Chi-Square Test for Scale and Location Mixtures |
| test.equality.mixed | Performs Chi-Square Test for Mixed Effects Mixtures |
| Waterdata | Water-Level Task Data Set |
| wkde | Weighted Univariate (Normal) Kernel Density Estimate |