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mixtools (version 2.0.0)

Tools for Analyzing Finite Mixture Models

Description

Analyzes finite mixture models for various parametric and semiparametric settings. This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic, mixturegrams, and model selection criteria). Bayesian estimation of mixtures-of-linear-regressions models is available as well as a novel data depth method for obtaining credible bands. This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772 and the Chan Zuckerberg Initiative: Essential Open Source Software for Science (Grant No. 2020-255193).

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install.packages('mixtools')

Monthly Downloads

6,788

Version

2.0.0

License

GPL (>= 2)

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Repository

https://github.com/dsy109/mixtools

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Last Published

December 5th, 2022

Functions in mixtools (2.0.0)

Reaction Time (RT) Data Set (No. 2)

Augmented Predictor Function

Water-Level Task Data Set

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

GNP and CO2 Data Set

Rod and Frame Task Data Set

Reaction Time (RT) Data Set

Ethanol Fuel Data Set

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

Habituationdata

Infant habituation data

Normal kernel density estimate for semiparametric EM output

EM Algorithm for Mixtures of Regressions with Flare

The Multivariate Normal Density

EM algorithm for Reliability Mixture Models (RMM) with right Censoring

Performs Parametric Bootstrap for Standard Error Approximation

Draw Two-Dimensional Ellipse Based on Mean and Covariance

Density Function for the Dirichlet Distribution

Normal kernel density estimate for nonparametric EM output

Plot the Component CDF

Elliptical and Spherical Depth

Produce Cutpoint Multinomial Data

Log-Density for Multinomial Distribution

Integrated Squared Error for a selected density from npEM output

mixtools initializations

Initializations for Various EM Algorithms in 'mixtools'

EM Algorithm for Mixtures of Logistic Regressions

EM Algorithm for Mixtures of Gamma Distributions

EM Algorithm for Mixtures-of-Experts

Perturbation of Mixing Proportions

Local Estimation for Lambda in Mixtures of Regressions

Calculates the Square Root of a Diagonalizable Matrix

multmixmodel.sel

Model Selection Mixtures of Multinomials

EM Algorithm for Mixtures of Multivariate Normals

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

EM Algorithm for Mixtures of Univariate Normals

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

normalmixEM2comp

Fast EM Algorithm for 2-Component Mixtures of Univariate Normals

Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements

EM Algorithm for Mixtures of Multinomials

mixtools-internal

Internal 'mixtools' Functions

Various Plots Pertaining to Mixture Models

Plot Nonparametric or Semiparametric EM Output

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

Plot sequences from the EM algorithm for censored mixture of exponentials

Plots of Marginal Density Estimates from the mvnpEM Algorithm Output

parse.constraints

Constraint Function

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

Various Plots Pertaining to Mixture Model Output Using MCMC Methods

Permutation Function

Plot mixture pdf for the semiparametric mixture model output by spEMsymlocN01

Various Plots Pertaining to Mixture Model Output Using MCMC Methods using plotly

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

Plot the Component CDF using plotly

Plot sequences from the EM algorithm for censored mixture of exponentials using plotly

plotly_mixturegram

Draw Two-Dimensional Ellipse Based on Mean and Covariance using plotly

Visualization of output of mixEM function using plotly

plotly_ise.npEM

Visualization of Integrated Squared Error for a selected density from npEM output using plotly

plotly_post.beta

Visualization of Posterior Regression Coefficients in Mixtures of Random Effects Regressions using plotly

Plot Nonparametric or Semiparametric EM Output

Plot mixture pdf for the semiparametric mixture model output by spEMsymlocN01 using plotly.

plotly_weibullRMM

Plot sequences from the Stochastic EM algorithm for mixture of Weibull using plotly

Plot output from Stochastic EM algorithm for semiparametric scaled mixture of censored data

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

Summary of Posterior Regression Coefficients in Mixtures of Random Effects Regressions

plotly_seq.npEM

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

Plot output from Stochastic EM algorithm for semiparametric scaled mixture of censored data using plotly.

Printing of Results from the mvnpEM Algorithm Output

EM Algorithm for Mixtures of Poisson Regressions

Plot sequences from the Stochastic EM algorithm for mixture of Weibull

regmixmodel.sel

Model Selection in Mixtures of Regressions

regmixEM.lambda

EM Algorithm for Mixtures of Regressions with Local Lambda Estimates

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

Metropolis-Hastings Algorithm for Mixtures of Regressions

EM Algorithm for Mixtures of Normals with Repeated Measurements

EM Algorithm for Mixtures of Regressions with Random Effects

EM Algorithm for Mixtures of Regressions

Printing non- and semi-parametric multivariate mixture model fits

repnormmixmodel.sel

Model Selection in Mixtures of Normals with Repeated Measures

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

Stochastic EM algorithm for semiparametric scaled mixture of censored data

Semiparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements

Simulate from Mixtures of Weibull distributions

Semiparametric EM-like Algorithm for univariate symmetric location mixture

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

ECM Algorithm for Mixtures of Regressions with Changepoints

Simulate from Mixtures of Normals

Simulate from a Multivariate Normal Distribution

Simulate from Multivariate (repeated measures) Mixtures of Normals

Simulate from Mixtures of Exponentials

test.equality.mixed

Performs Chi-Square Test for Mixed Effects Mixtures

Performs Chi-Square Tests for Scale and Location Mixtures

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

Mixtures of Regressions with Flare MM Algorithm

Tone perception data

tauequivnormalmixEM

Special EM Algorithm for three-component tau equivalence model

Summarizing fits from Stochastic EM algorithm for semiparametric scaled mixture of censored data

Summarizing non- and semi-parametric multivariate mixture model fits

EM-like Algorithm for Semiparametric Mixtures of Regressions

St-EM algorithm for Reliability Mixture Models (RMM) of Weibull with right Censoring

Summarizing EM mixture model fits

Weighted Univariate (Normal) Kernel Density Estimate

Weighted quantiles