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mixtools (version 0.1.0)

Tools for mixture models.

Description

A collection of R functions for analyzing mixture models.

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Version

Install

install.packages('mixtools')

Monthly Downloads

22,902

Version

0.1.0

License

GPL Version 2 or later.

Maintainer

Derek Young

Last Published

December 5th, 2022

Functions in mixtools (0.1.0)

NOdata

Ethanol Fuel Data Set
depth

Elliptical and Spherical Depth
compCDF

Plot the Component CDF
plot.mixMCMC

Various Plots Pertaining to Mixture Model Output Using MCMC Methods
poisregmixEM

EM Algorithm for Mixtures of Poisson Regressions
repnormmixEM

EM Algorithm for Mixtures of Normals with Repeated Measurements
CO2data

GNP and CO2 Data Set
mvnormalmixEM

EM Algorithm for Mixtures of Multivariate Normals
normalmixEM

EM Algorithm for Mixtures of Univariate Normals
makemultdata

Produce Cutpoint Multinomial Data
post.beta

Summary of Posterior Regression Coefficients in Mixtures of Random Effects Regressions
RanEffdata

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

Water-Level Task Data Set
plot.mixEM

Various Plots Pertaining to Mixture Models
normmix.sim

Simulate from Mixtures of Normals
logisregmixEM

EM Algorithm for Mixtures of (Binary) Logistic or Binomial Regressions
regcr

Add a Bayesian Credible Region for Regression Lines to a Scatterplot
ldmult

Log-Density for Multinomial Distribution
regmixMH

Metropolis-Hastings Algorithm for Mixtures of Regressions
multmixEM

EM Algorithm for Mixtures of Multinomials
ellipse

Draw Two-Dimensional Ellipse Based on Mean and Covariance
regmixmodel.sel

Model Selection in Mixtures of Regressions
mixtools initializations

Initializations for Various EM Algorithms in 'mixtools'
repnormmixmodel.sel

Model Selection in Mixtures of Normals with Repeated Measures
multmixmodel.sel

Model Selection Mixtures of Multinomials
regmixEM

EM Algorithm for Mixtures of Regressions
regmixEM.mixed

EM Algorithm for Mixtures of Regressions with Random Effects