
mixfdr
 Referenced in 20 articles
[sw06074]
 normal mixtures , This package fits normal mixture models to data and uses them to compute...

Proc Traj
 Referenced in 13 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...

depmixS4
 Referenced in 13 articles
[sw08234]
 package depmixS4: Dependent Mixture Models  Hidden Markov Models of GLMs and Other Distributions ... series) data, otherwise known as dependent mixture models...

BNPdensity
 Referenced in 17 articles
[sw15005]
 Algorithm for Posterior Normalized Random Measures. Modeling mixtures with normalized random measures by a Ferguson...

Kaldi
 Referenced in 11 articles
[sw19844]
 sizes, acoustic modeling with subspace Gaussian mixture models (SGMM) as well as standard Gaussian mixture...

CUB
 Referenced in 15 articles
[sw17717]
 package CUB: A Class of Mixture Models for Ordinal Data. Estimate and test models...

HDclassif
 Referenced in 15 articles
[sw11114]
 parametrization of the Gaussian mixture model which combines the ideas of dimension reduction and constraints...

teigen
 Referenced in 13 articles
[sw07950]
 distribution. Fits multivariate tdistribution mixture models (with eigendecomposed covariance structure) via the multi...

PSPMCM
 Referenced in 8 articles
[sw27707]
 macro for parametric and semiparametric mixture cure models. Cure models have been developed to analyze ... account for the possibility of cure. Mixture cure models assume that the studied population ... macro to estimate parametric and semiparametric mixture cure models with covariates. The cure fraction ... proportional hazards mixture cure model. Indications and limitations of the proposed macro are discussed...

glmmAK
 Referenced in 25 articles
[sw13218]
 regression model with random effects whose distribution is specified as a penalized normal mixture ... Generalized linear mixed model with a penalized Gaussian mixture as a randomeffects distribution. Computational...

REBayes
 Referenced in 11 articles
[sw20967]
 KieferWolfowitz maximum likelihood estimation for mixture models and some other density estimation and regression...

PReMiuM
 Referenced in 11 articles
[sw14746]
 Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression ... allows for fixed effects in the response model, where a spatial CAR (conditional autoregressive) term ... also provided. In addition to fitting mixtures, it may additionally be of interest to determine...

CensMixReg
 Referenced in 7 articles
[sw21090]
 Finite mixture modeling of censored data using the multivariate studentt distribution. Finite mixture models ... propose a robust model for censored data based on finite mixtures of multivariate Student ... distributions. This approach allows us to model data with great flexibility, accommodating multimodality, heavy tails ... skewness depending on the structure of the mixture components. We develop an analytically simple...

bayesmix
 Referenced in 7 articles
[sw23613]
 package bayesmix: Bayesian Mixture Models with JAGS. The fitting of finite mixture models of univariate...

dti
 Referenced in 7 articles
[sw06588]
 Smoothing, Neuroimage 39(4), 17631773 (2008)), modeling for high angular resolution diffusion weighted imaging ... using Qballreconstruction and tensor mixture models and a streamline fiber tracking for tensor ... tensor mixture models. The package provides functionality to manipulate and visualize results...

nor1mix
 Referenced in 7 articles
[sw24687]
 package nor1mix: Normal (1d) Mixture Models (S3 Classes and Methods). Onedimensional Normal Mixture Models...

idr
 Referenced in 7 articles
[sw11205]
 package for estimating the copula mixture model and plotting correspondence curves in ”Measuring reproducibility ... curve is fitted by a copula mixture model, from which we derive a quantitative reproducibility...

bgmm
 Referenced in 5 articles
[sw19104]
 package bgmm. bgmm: Gaussian Mixture Modeling Algorithms and the BeliefBased Mixture Modeling. Two partially ... supervised mixture modeling methods: softlabel and beliefbased modeling are implemented. For completeness ... unsupervised, semi and fully supervised mixture modeling. The package can be applied also to selection ... Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software...

depmix
 Referenced in 7 articles
[sw08233]
 depmix: Dependent Mixture Models. Fit (multigroup) mixtures of latent Markov models on mixed categorical...

Smcure
 Referenced in 8 articles
[sw16862]
 smcure: Fit Semiparametric Mixture Cure Models. An Rpackage for Estimating Semiparametric ... Mixture Cure Models...