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mixtools (version 1.0.4)

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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Install

install.packages('mixtools')

Monthly Downloads

11,902

Version

1.0.4

License

GPL (>= 2)

Maintainer

Derek S. Young

Last Published

January 11th, 2016

Functions in mixtools (1.0.4)

Semiparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements

Normal kernel density estimate for semiparametric EM output

EM Algorithm for Mixtures of Regressions

Semiparametric EM-like Algorithm for univariate symmetric location mixture

Draw Two-Dimensional Ellipse Based on Mean and Covariance

multmixmodel.sel

Model Selection Mixtures of Multinomials

Summary of Posterior Regression Coefficients in Mixtures of Random Effects Regressions

Local Estimation for Lambda in Mixtures of Regressions

Various Plots Pertaining to Mixture Models

EM Algorithm for Mixtures of Regressions with Random Effects

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

Metropolis-Hastings Algorithm for Mixtures of Regressions

Plot Nonparametric or Semiparametric EM Output

Ethanol Fuel Data Set

Various Plots Pertaining to Mixture Model Output Using MCMC Methods

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

Permutation Function

Plot mixture pdf for the semiparametric mixture model output by spEMsymlocN01

The Multivariate Normal Density

Weighted Univariate (Normal) Kernel Density Estimate

EM-like Algorithm for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities

Rod and Frame Task Data Set

EM Algorithm for Mixtures of Multinomials

EM Algorithm for Mixtures of Regressions with Flare

EM Algorithm for Mixtures of Poisson Regressions

Density Function for the Dirichlet Distribution

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

Performs Parametric Bootstrap for Standard Error Approximation

Habituationdata

Infant habituation data

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

mixtools initializations

Initializations for Various EM Algorithms in 'mixtools'

Elliptical and Spherical Depth

Water-Level Task Data Set

EM Algorithm for Mixtures-of-Experts

EM Algorithm for Mixtures of Logistic Regressions

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

Calculates the Square Root of a Diagonalizable Matrix

GNP and CO2 Data Set

Mixtures of Regressions with Flare MM Algorithm

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

Performs Chi-Square Tests for Scale and Location Mixtures

Plots of Marginal Density Estimates from the mvnpEM Algorithm Output

regmixmodel.sel

Model Selection in Mixtures of Regressions

Printing non- and semi-parametric multivariate mixture model fits

Augmented Predictor Function

EM-like Algorithm for Semiparametric Mixtures of Regressions

Weighted quantiles

Integrated Squared Error for a selected density from npEM output

Log-Density for Multinomial Distribution

Simulate from a Multivariate Normal Distribution

Normal kernel density estimate for nonparametric EM output

Produce Cutpoint Multinomial Data

test.equality.mixed

Performs Chi-Square Test for Mixed Effects Mixtures

Summarizing non- and semi-parametric multivariate mixture model fits

repnormmixmodel.sel

Model Selection in Mixtures of Normals with Repeated Measures

Printing of Results from the mvnpEM Algorithm Output

Summarizing Fits for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities

EM Algorithm for Mixtures of Gamma Distributions

Simulate from Multivariate (repeated measures) Mixtures of Normals

EM Algorithm for Mixtures of Univariate Normals

Reaction Time (RT) Data Set

parse.constraints

Constraint Function

Summarizing EM mixture model fits

Plot the Component CDF

EM Algorithm for Mixtures of Multivariate Normals

normalmixEM2comp

Fast EM Algorithm for 2-Component Mixtures of Univariate Normals

Simulate from Mixtures of Normals

regmixEM.lambda

EM Algorithm for Mixtures of Regressions with Local Lambda Estimates

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

Reaction Time (RT) Data Set \# 2

Perturbation of Mixing Proportions

mixtools-internal

Internal 'mixtools' Functions

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

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

EM Algorithm for Mixtures of Normals with Repeated Measurements

Tone perception data

ECM Algorithm for Mixtures of Regressions with Changepoints

Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements