• mclust

  • Referenced in 176 articles [sw00563]
  • Estimation , Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density...
  • flexmix

  • Referenced in 71 articles [sw06087]
  • mixtures of regression models using the EM algorithm. FlexMix provides the E-step...
  • RegEM

  • Referenced in 12 articles [sw04943]
  • Maximization The modules implement the regularized EM algorithm described in T. Schneider, 2001: Analysis ... Climate, 14, 853-871. The EM algorithm for Gaussian data is based on iterated linear ... regression analyses. In the regularized EM algorithm, a regularized estimation method replaces the conditional maximum ... regression parameters in the conventional EM algorithm for Gaussian data. The modules here provide truncated...
  • EMMIX

  • Referenced in 16 articles [sw08192]
  • using maximum likelihood via the EM algorithm of Dempster, Laird, and Rubin ... full examination of the EM algorithm and related topics, see McLachlan and Krishnan (1997). Many...
  • HAPLO

  • Referenced in 21 articles [sw04580]
  • HAPLO: A Program Using the EM Algorithm to Estimate the Frequencies of Multi-site Haplotypes...
  • FAMT

  • Referenced in 21 articles [sw11123]
  • parameters are estimated thanks to an EM algorithm. Adjusted tests statistics are derived, as well...
  • PRISM

  • Referenced in 27 articles [sw23359]
  • examples with the help of the EM learning algorithm. As a knowledge representation language appropriate...
  • EMMIX-skew

  • Referenced in 11 articles [sw07968]
  • EMMIXskew: The EM Algorithm and Skew Mixture Distribution EM algorithm for Mixture of Multivariate Skew...
  • GAKREM

  • Referenced in 9 articles [sw02712]
  • characteristics of the K-means and EM algorithms but avoids their weaknesses such ... goals, genetic algorithms for estimating parameters and initializing starting points for the EM are used ... regression instead of running the conventional EM algorithm until its convergence. Another novelty ... comparing its performance with the conventional EM algorithm, the K-means algorithm, and the likelihood...
  • Stem

  • Referenced in 11 articles [sw12287]
  • spatio-temporal model using the EM algorithm, estimation of the parameter standard errors using...
  • bivpois

  • Referenced in 11 articles [sw20812]
  • Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented. Inflated models allow for modelling...
  • SQUAREM

  • Referenced in 10 articles [sw12282]
  • extrapolation methods for accelerating fixed-point iterations. Algorithms for accelerating the convergence of slow, monotone ... smooth, contraction mapping such as the EM algorithm. It can be used to accelerate...
  • R/qtl

  • Referenced in 10 articles [sw20451]
  • data. We have implemented the main HMM algorithms, with allowance for the presence of genotyping ... scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation...
  • funHDDC

  • Referenced in 7 articles [sw11130]
  • estimation procedure based on the EM algorithm is proposed for determining both the model parameters...
  • System Identification Toolbox

  • Referenced in 128 articles [sw05686]
  • parametric, subspace-based, and prediction-error algorithms coupled (in the latter case) with either MIMO ... parametrizations, and the employment of Expectation Maximization (EM) methods...
  • curvclust

  • Referenced in 5 articles [sw07435]
  • which we develop an EM-algorithm for maximum likelihood estimation. The properties of the overall...
  • EMMIXskew

  • Referenced in 5 articles [sw19758]
  • package EMMIXskew: EM Algorithm for Mixture of Multivariate Skew Normal/t Distributions...
  • MIXREG

  • Referenced in 5 articles [sw24547]
  • marginal likelihood estimation, utilizing both the EM algorithm and a Fisher-scoring solution...
  • Mixmod

  • Referenced in 27 articles [sw06991]
  • large variety of algorithms to estimate the mixture parameters are proposed (EM, Classification EM, Stochastic...
  • EMCluster

  • Referenced in 3 articles [sw24496]
  • package EMCluster: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution. EM algorithms...