
flexmix
 Referenced in 109 articles
[sw06087]
 implements a general framework for finite mixtures of regression models using the EM algorithm. FlexMix ... easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models...

betareg
 Referenced in 39 articles
[sw15449]
 proportions. In addition to maximum likelihood regression (for both mean and precision of a beta ... well as finite mixture models and recursive partitioning for beta regressions are provided...

flexCWM
 Referenced in 12 articles
[sw16972]
 clusterweighted models, a class of mixtures of regression models with random covariates...

mixreg
 Referenced in 6 articles
[sw08157]
 package mixreg: Functions to fit mixtures of regressions. Fits mixtures of (possibly multivariate) regressions (which...

fpc
 Referenced in 24 articles
[sw07105]
 Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric...

blasso
 Referenced in 13 articles
[sw06769]
 linear regression models, and an alternate representation as a scale mixture of normal distributions. Prior ... parameters, resulting in an infinite mixture of elastic net regression models that allows for adaptive...

mda
 Referenced in 18 articles
[sw10631]
 flexible discriminant analysis. Mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO...

ChIPmix
 Referenced in 4 articles
[sw35320]
 ChIPmix: mixture model of regressions for twocolor ChIP–chip analysis. Motivation: Chromatin immunoprecipitation (ChIP ... named ChIPmix based on a linear regression mixture model to identify actual binding targets...

PReMiuM
 Referenced in 10 articles
[sw14746]
 Bayesian Clustering, Profile Regression. Bayesian clustering using a Dirichlet process mixture model. This model ... alternative to regression models, nonparametrically linking a response vector to covariate data through cluster ... also provided. In addition to fitting mixtures, it may additionally be of interest to determine...

glmmAK
 Referenced in 25 articles
[sw13218]
 regression model with random effects whose distribution is specified as a penalized normal mixture...

mmlcr
 Referenced in 2 articles
[sw15070]
 mixture model regression or mixedmode mixture regression models) which can handle both longitudinal...

RobMixReg
 Referenced in 1 article
[sw33919]
 package RobMixReg: Robust Mixture Regression. Finite mixture models are a popular technique for modelling unobserved ... implementation of popular robust mixture regression methods based on different algorithms including: fleximix, finite mixture ... wise adaptive Trimming Likelihood Estimation based mixture regression; mixbi stands for mixture regression based ... square estimation; mixLstands for mixture regression based on Laplacian distribution; TLE stands for Trimmed Likelihood...

Latent GOLD
 Referenced in 93 articles
[sw11673]
 analysis, structural equation models, and randomeffects regression models that are based on continuous latent ... same period, the related field of finite mixture (FM) models for multivariate normal distributions began...

SMNCensReg
 Referenced in 4 articles
[sw19243]
 Linear censored regression models with scale mixtures of normal distributions. In the framework of censored ... establish a new link between the censored regression model and a recently studied class ... inclusion of kurtosis, called scale mixtures of normal (SMN) distributions. The Studentt, Pearson type...

morpheus
 Referenced in 1 article
[sw36814]
 Estimate Parameters of Mixtures of Logistic Regressions. Mixture of logistic regressions parameters (H)estimation with ... return parameters according to the GLMs mixture model (General Linear Model). For more details...

REBayes
 Referenced in 9 articles
[sw20967]
 likelihood estimation for mixture models and some other density estimation and regression methods based...

gmr
 Referenced in 1 article
[sw38775]
 Gaussian Mixture Models (GMMs) for clustering and regression in Python ... Python library for Gaussian mixture regression (GMR). GMR is a regression approach that models probability ... same procedure as in a standard Gaussian mixture model...

parallelMCMCcombine
 Referenced in 3 articles
[sw21115]
 MCMC models including Bayesian logistic regression, Bayesian Gaussian mixture models and Bayesian hierarchical PoissonGamma...

BayesCR
 Referenced in 3 articles
[sw24275]
 BayesCR: Bayesian Analysis of Censored Regression Models Under Scale Mixture of Skew Normal Distributions. Propose...

AMIDST
 Referenced in 5 articles
[sw21741]
 models (LDA, factor analysis, mixture of Gaussians and linear regression models). Our approach compares favorably...