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mixtools (version 0.3.0)

Tools for analyzing mixture models

Description

A collection of R functions for analyzing mixture models.

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Version

Install

install.packages('mixtools')

Monthly Downloads

13,010

Version

0.3.0

License

GPL (>= 2)

Maintainer

Derek Young

Last Published

December 5th, 2022

Functions in mixtools (0.3.0)

matsqrt

Calculates the Square Root of a Diagonalizable Matrix

normalmixEM

EM Algorithm for Mixtures of Univariate Normals

NOdata

Ethanol Fuel Data Set

mixtools-internal

Kernels for 'mixtools' Functions

repnormmixmodel.sel

Model Selection in Mixtures of Normals with Repeated Measures

compCDF

Plot the Component CDF

normalmixEM2comp

Fast EM Algorithm for 2-Component Mixtures of Univariate Normals

hmeEM

EM Algorithm for Mixtures-of-Experts

rmvnorm

Simulate from a Multivariate Normal Distribution

ldmult

Log-Density for Multinomial Distribution

rnormmix

Simulate from Mixtures of Normals

RodFramedata

Rod and Frame Task Data Set

boot.comp

Performs Parametric Bootstrap for Sequentially Testing the Number of Components in Various Mixture Models

multmixEM

EM Algorithm for Mixtures of Multinomials

logisregmixEM

EM Algorithm for Mixtures of Logistic Regressions

flaremixEM

EM Algorithm for Mixtures of Regressions with Flare

boot.se

Performs Parametric Bootstrap for Standard Error Approximation

dmvnorm

The Multivariate Normal Density

lambda

Local Estimation for Lambda in Mixtures of Regressions

RTdata2

Reaction Time (RT) Data Set # 2

depth

Elliptical and Spherical Depth

density.npEM

Normal kernel density estimate for nonparametric EM output

RanEffdata

Simulated Data from 2-Component Mixture of Regressions with Random Effects

RTdata

Reaction Time (RT) Data Set

regmixEM.lambda

EM Algorithm for Mixtures of Regressions with Local Lambda Estimates

plotseq.npEM

Plotting sequences of estimates from non- or semiparametric EM-like Algorithm

regcr

Add a Confidence Region or Bayesian Credible Region for Regression Lines to a Scatterplot

plot.mixEM

Various Plots Pertaining to Mixture Models

regmixmodel.sel

Model Selection in Mixtures of Regressions

ise.npEM

Integrated Squared Error for a selected density from npEM output

CO2data

GNP and CO2 Data Set

ellipse

Draw Two-Dimensional Ellipse Based on Mean and Covariance

regmixEM.mixed

EM Algorithm for Mixtures of Regressions with Random Effects

wkde

Weighted Univariate (Normal) Kernel Density Estimate

lambda.pert

Perturbation of Mixing Proportions

plot.mixMCMC

Various Plots Pertaining to Mixture Model Output Using MCMC Methods

mvnormalmixEM

EM Algorithm for Mixtures of Multivariate Normals

try.flare

Mixtures of Regressions with Flare MM Algorithm

mixtools initializations

Initializations for Various EM Algorithms in 'mixtools'

npEMindrep

Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements

spEMsymloc

Semiparametric EM-like Algorithm for univariate symmetric location mixture

repnormmixEM

EM Algorithm for Mixtures of Normals with Repeated Measurements

plot.npEM

Plot Nonparametric EM output

multmixmodel.sel

Model Selection Mixtures of Multinomials

makemultdata

Produce Cutpoint Multinomial Data

poisregmixEM

EM Algorithm for Mixtures of Poisson Regressions

summary.npEM

Summarizing non- and semi-parametric multivariate mixture model fits

test.equality

Performs Chi-Square Test for Scale and Location Mixtures

regmixEM.chgpt

EM Algorithm for Mixtures of Regressions with a Changepoint

regmixEM.loc

Iterative Algorithm Using EM Algorithm for Mixtures of Regressions with Local Lambda Estimates

rmvnormmix

Simulate from Multivariate (repeated measures) Mixtures of Normals

post.beta

Summary of Posterior Regression Coefficients in Mixtures of Random Effects Regressions

test.equality.mixed

Performs Chi-Square Test for Mixed Effects Mixtures

print.npEM

Printing non- and semi-parametric multivariate mixture model fits

Waterdata

Water-Level Task Data Set

regmixEM

EM Algorithm for Mixtures of Regressions

regmixMH

Metropolis-Hastings Algorithm for Mixtures of Regressions