• 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]
  • cluster-weighted 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 two-color 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, non-parametrically 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 mixed-mode 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 random-effects 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 Student-t, 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 Poisson-Gamma...
  • 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...