• 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...
  • mixfdr

  • Referenced in 19 articles [sw06074]
  • normal mixtures , This package fits normal mixture models to data and uses them to compute...
  • 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 10 articles [sw19844]
  • sizes, acoustic modeling with subspace Gaussian mixture models (SGMM) as well as standard Gaussian mixture...
  • 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 t-distribution mixture models (with eigen-decomposed 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 random-effects distribution. Computational...
  • 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), 1763-1773 (2008)), modeling for high angular resolution diffusion weighted imaging ... using Q-ball-reconstruction 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 (1-d) 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...
  • PReMiuM

  • Referenced in 10 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...
  • bgmm

  • Referenced in 5 articles [sw19104]
  • package bgmm. bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling. Two partially ... supervised mixture modeling methods: soft-label and belief-based 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...
  • CisModule

  • Referenced in 6 articles [sw35646]
  • Bayesian module sampler by hierachical mixture modeling. CisModule: De novo discovery of cis-regulatory modules ... hierarchical mixture modeling. The regulatory information for a eukaryotic gene is encoded in cis-regulatory ... knowledge. We propose a hierarchical mixture approach to model the cis-regulatory module structure. Based...
  • depmix

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

  • Referenced in 9 articles [sw17717]
  • package CUB: A Class of Mixture Models for Ordinal Data. Estimate and test models...
  • REBayes

  • Referenced in 9 articles [sw20967]
  • Kiefer-Wolfowitz maximum likelihood estimation for mixture models and some other density estimation and regression...
  • Smcure

  • Referenced in 8 articles [sw16862]
  • smcure: Fit Semiparametric Mixture Cure Models. An R-package for Estimating Semiparametric ... Mixture Cure Models...