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mixtools (version 1.0.1)

Tools for analyzing finite mixture models

Description

A collection of R functions for analyzing finite mixture models. This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772.

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Version

Install

install.packages('mixtools')

Monthly Downloads

11,902

Version

1.0.1

License

GPL (>= 2)

Maintainer

Derek Young

Last Published

January 11th, 2014

Functions in mixtools (1.0.1)

mixtools initializations

Initializations for Various EM Algorithms in 'mixtools'

Elliptical and Spherical Depth

EM Algorithm for Mixtures of Logistic Regressions

GNP and CO2 Data Set

Normal kernel density estimate for semiparametric EM output

Density Function for the Dirichlet Distribution

Perturbation of Mixing Proportions

EC-MM Algorithm for Mixtures of Univariate Normals with linear constraints

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

parse.constraints

Constraint Function

EM Algorithm for Mixtures of Regressions with Flare

EM Algorithm for Mixtures of Normals with Repeated Measurements

Semiparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements

Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements

EM Algorithm for Mixtures of Poisson Regressions

Various Plots Pertaining to Mixture Model Output Using MCMC Methods

Reaction Time (RT) Data Set # 2

Integrated Squared Error for a selected density from npEM output

Draw Two-Dimensional Ellipse Based on Mean and Covariance

Mixtures of Regressions with Flare MM Algorithm

Plot False Discovery Rate (FDR) estimates from output by EM-like strategies

Log-Density for Multinomial Distribution

EM Algorithm for Mixtures of Multivariate Normals

Summarizing EM mixture model fits

Produce Cutpoint Multinomial Data

Normal kernel density estimate for nonparametric EM output

EM Algorithm for Mixtures-of-Experts

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

Plot the Component CDF

Simulate from a Multivariate Normal Distribution

Rod and Frame Task Data Set

Ethanol Fuel Data Set

semiparametric EM-like algorithm for univariate mixture in False Discovery Rate (FDR) estimation

Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements - Maximum Smoothed Likelihood version

test.equality.mixed

Performs Chi-Square Test for Mixed Effects Mixtures

Reaction Time (RT) Data Set

Performs Parametric Bootstrap for Standard Error Approximation

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

mixtools-internal

Kernels for 'mixtools' Functions

Weighted quantiles

EM Algorithm for Mixtures of Gamma Distributions

Weighted Univariate (Normal) Kernel Density Estimate

Simulate from Mixtures of Normals

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

EM Algorithm for Mixtures of Regressions with Random Effects

ECM Algorithm for Mixtures of Regressions with Changepoints

regmixEM.lambda

EM Algorithm for Mixtures of Regressions with Local Lambda Estimates

EM Algorithm for Mixtures of Multinomials

Water-Level Task Data Set

EM Algorithm for Mixtures of Regressions

Habituationdata

Infant habituation data

Augmented Predictor Function

normalmixEM2comp

Fast EM Algorithm for 2-Component Mixtures of Univariate Normals

Metropolis-Hastings Algorithm for Mixtures of Regressions

Performs Chi-Square Tests for Scale and Location Mixtures

regmixmodel.sel

Model Selection in Mixtures of Regressions

Local Estimation for Lambda in Mixtures of Regressions

The Multivariate Normal Density

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

Calculates the Square Root of a Diagonalizable Matrix

EM-like Algorithm for Semiparametric Mixtures of Regressions

multmixmodel.sel

Model Selection Mixtures of Multinomials

EM Algorithm for Mixtures of Univariate Normals

Printing non- and semi-parametric multivariate mixture model fits

Summary of Posterior Regression Coefficients in Mixtures of Random Effects Regressions

Tone perception data

Plot Nonparametric or Semiparametric EM Output

Summarizing non- and semi-parametric multivariate mixture model fits

repnormmixmodel.sel

Model Selection in Mixtures of Normals with Repeated Measures

Plot mixture pdf for the semiparametric mixture model output by spEMsymlocN01

Various Plots Pertaining to Mixture Models

Simulate from Multivariate (repeated measures) Mixtures of Normals

Permutation Function

Semiparametric EM-like Algorithm for univariate symmetric location mixture