Tools for analyzing finite mixture models


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Documentation for package ‘mixtools’ version 1.0.2

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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
density.spEM Normal kernel density estimate for semiparametric 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
gammamixEM EM Algorithm for Mixtures of Gamma Distributions
Habituationdata Infant habituation data
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
makemultda