• PSPMCM

  • Referenced in 8 articles [sw27707]
  • parametric models and through an EM algorithm for the Cox’s proportional hazards mixture cure...
  • System Identification Toolbox

  • Referenced in 172 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...
  • disclapmix

  • Referenced in 5 articles [sw14230]
  • Discrete Laplace Mixture Inference using the EM Algorithm. Make inference in a mixture of discrete ... Laplace distributions using the EM algorithm. This can e.g. be used for modelling the distribution...
  • otrimle

  • Referenced in 12 articles [sw17889]
  • likelihood. This is fitted by a EM-type algorithm. See Coretto and Hennig...
  • spinyReg

  • Referenced in 4 articles [sw14821]
  • Combining a relaxed EM algorithm with Occam’s razor for Bayesian variable selection in high ... likelihood maximization based on an EM algorithm. Model selection is performed afterwards relying on Occam ... path of models found by the EM algorithm. Numerical comparisons between our method, called spinyReg...
  • Mixmod

  • Referenced in 36 articles [sw06991]
  • large variety of algorithms to estimate the mixture parameters are proposed (EM, Classification EM, Stochastic...
  • curvclust

  • Referenced in 6 articles [sw07435]
  • which we develop an EM-algorithm for maximum likelihood estimation. The properties of the overall...
  • blockmodels

  • Referenced in 4 articles [sw29261]
  • Block Model Estimation by a ’V-EMAlgorithm. Latent and Stochastic Block Model estimation ... Variational EM algorithm. Various probability distribution are provided (Bernoulli, Poisson...), with or without covariates...
  • phmm

  • Referenced in 6 articles [sw19050]
  • model incorporating random effects using an EM algorithm using Markov Chain Monte Carlo...
  • sspir

  • Referenced in 6 articles [sw24865]
  • matrices can be performed using the EM algorithm in case of Gaussian models. Read help...
  • VarSelLCM

  • Referenced in 6 articles [sw15183]
  • likelihood inference is done by an EM algorithm for the selected model. This package also...
  • mixdist

  • Referenced in 5 articles [sw08156]
  • Newton-type algorithm and the EM algorithm...
  • poisson.glm.mix

  • Referenced in 5 articles [sw31653]
  • possible. The package estimates parameters via EM algorithm. For an efficient initialization, a random splitting...
  • spgam1

  • Referenced in 5 articles [sw27802]
  • Crawley 6907. It implements the ML-EM algorithm for semiparametric conditional shared gamma frailty models...
  • MIXREG

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

  • Referenced in 3 articles [sw23159]
  • algorithm that mixes the statistical optimization algorithm EM with local search techniques which have been ... communities. An efficient implementation of the EM algorithm provides maximum likelihood recombination fractions, while...
  • CensMixReg

  • Referenced in 7 articles [sw21090]
  • develop an analytically simple, yet efficient, EM-type algorithm for conducting maximum likelihood estimation...
  • lemma

  • Referenced in 4 articles [sw35496]
  • implementation of an approximate EM algorithm to estimate the parameters in the assumed linear model...
  • PLMIX

  • Referenced in 4 articles [sw19806]
  • provides MAP point estimates via EM algorithm and posterior MCMC simulations via Gibbs Sampling...
  • EMMIXcskew

  • Referenced in 4 articles [sw16159]
  • this paper, an Expectation-Maximization (EM) algorithm is described for computing the ML estimates...