
mclust
 Referenced in 196 articles
[sw00563]
 package mclust: Normal Mixture Modeling for ModelBased Clustering, Classification, and Density Estimation , Normal Mixture...

flexmix
 Referenced in 81 articles
[sw06087]
 package flexmix: Flexible Mixture Modeling , FlexMix implements a general framework for finite mixtures of regression ... user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized...

PGMM
 Referenced in 60 articles
[sw07981]
 package pgmm: Parsimonious Gaussian mixture models. Carries out modelbased clustering or classification using parsimonious ... Gaussian mixture models...

AutoClass
 Referenced in 68 articles
[sw26092]
 mathematical development for the basic mixture model, describe the approximations needed for computational tractability, give...

mixtools
 Referenced in 41 articles
[sw08093]
 package mixtools: Tools for analyzing finite mixture models. A collection of R functions for analyzing ... finite mixture models. This package is based upon work supported by the National Science Foundation...

Latent GOLD
 Referenced in 75 articles
[sw11673]
 structural equation models, and randomeffects regression models that are based on continuous latent variables ... period, the related field of finite mixture (FM) models for multivariate normal distributions began ... Wolfe (1965, 1967, 1970) and others. FM models seek to separate ... that is assumed to arise as a mixture from a finite number of distinctly different...

Mixmod
 Referenced in 31 articles
[sw06991]
 analysis with the MIXMOD software. The Mixture Modeling (MIXMOD) program fits mixture models ... large variety of algorithms to estimate the mixture parameters are proposed (EM, Classification EM, Stochastic ... used for multivariate Gaussian mixtures, and fourteen different Gaussian models can be distinguished according ... criteria for choosing a parsimonious model (the number of mixture components, for instance) are included...

MULTIMIX
 Referenced in 29 articles
[sw03250]
 Mixture model clustering using the MULTIMIX program L. Hunt [Clustering using finite mixture models. Ph.D ... Univ. Waikato (1996)] implemented the finite mixture model approach to clustering in a program called...

MixSim
 Referenced in 20 articles
[sw07914]
 performance investigation of clustering and finite mixture modeling algorithms. Among other capabilities of MixSim, there ... computing the exact overlap for Gaussian mixtures, simulating Gaussian and nonGaussian data, simulating outliers ... graphical display of finite mixture models...

Refprop
 Referenced in 19 articles
[sw24947]
 most accurate pure fluid and mixture models currently available. It implements three models ... extended corresponding states (ECS) model. Mixture calculations employ a model that applies mixing rules ... Helmholtz energy of the mixture components; it uses a departure function to account ... ideal mixing. Viscosity and thermal conductivity are modeled with either fluidspecific correlations...

EMMIX
 Referenced in 19 articles
[sw08192]
 program is to fit a mixture model of multivariate normal or tdistributed components ... when fitting mixture models...

betareg
 Referenced in 22 articles
[sw15449]
 package betareg: Beta Regression. Beta regression for modeling betadistributed dependent variables, e.g., rates ... reduced estimation as well as finite mixture models and recursive partitioning for beta regressions...

flowClust
 Referenced in 16 articles
[sw14266]
 modelbased clustering using a tmixture model with BoxCox transformation. Note: users should...

Proc Traj
 Referenced in 11 articles
[sw11097]
 Procedure Based on Mixture Models for Estimating Developmental Trajectories. This article introduces ... data (developmental trajectories) by fitting a mixture model. The TRAJ procedure fits semiparametric (discrete) mixtures ... model selection, including the estimation of the number of components in the mixture, is demonstrated...

Label.switching
 Referenced in 11 articles
[sw14745]
 package label.switching: Relabelling MCMC Outputs of Mixture Models. The Bayesian estimation of mixture models...

depmixS4
 Referenced in 11 articles
[sw08234]
 package depmixS4: Dependent Mixture Models  Hidden Markov Models of GLMs and Other Distributions ... series) data, otherwise known as dependent mixture models...

Emmixuskew
 Referenced in 13 articles
[sw16349]
 EMMIXuskew: Fitting Unrestricted Multivariate Skew t Mixture Models. Functions to fit finite mixture of unrestricted...

mixfdr
 Referenced in 14 articles
[sw06074]
 normal mixtures , This package fits normal mixture models to data and uses them to compute...

prefmod
 Referenced in 13 articles
[sw08190]
 LLBT) exploting an eliminate feature. Computes pattern models for paired comparisons, rankings, and ratings. Some ... MCAR and MNAR). Fits latent class (mixture) models for paired comparison, rating and ranking patterns...

Rmixmod
 Referenced in 12 articles
[sw13560]
 supervised and unsupervised classification with MIXture MODelling...