• EMVS

  • Referenced in 30 articles [sw31733]
  • Bayesian Variable Selection. An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization...
  • bivpois

  • Referenced in 17 articles [sw20812]
  • bivariate Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented. Inflated models allow...
  • BayesLCA

  • Referenced in 8 articles [sw16118]
  • model are provided, incorporating an expectation-maximization algorithm, Gibbs sampling and a variational Bayes approximation...
  • GeneScout

  • Referenced in 7 articles [sw31815]
  • graph G. A dynamic programming algorithm is used to find the optimal path ... proposed system is trained using an expectation-maximization algorithm and its performance on vertebrate gene...
  • PLASQ

  • Referenced in 6 articles [sw18746]
  • model to the data using an expectation-maximization algorithm designed for the purpose. We demonstrate...
  • PSMIX

  • Referenced in 5 articles [sw13670]
  • based on maximum likelihood method using expectation-maximization algorithm, for inference of population stratification...
  • ctmcd

  • Referenced in 4 articles [sw26626]
  • matrix logarithm based candidate solutions, an expectation-maximization algorithm as well as a Gibbs sampler...
  • GERBIL

  • Referenced in 4 articles [sw17194]
  • problem and solve it by an expectation-maximization algorithm. The algorithm was implemented...
  • GSPPCA

  • Referenced in 4 articles [sw25977]
  • candidate models using a variational expectation-maximization algorithm. The exact marginal likelihood can eventually...
  • BayesBinMix

  • Referenced in 3 articles [sw19815]
  • demonstrated and benchmarked against the Expectation-Maximization algorithm using a simulation study as well...
  • bnstruct

  • Referenced in 3 articles [sw29260]
  • climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu...
  • Bisulfighter

  • Referenced in 3 articles [sw23508]
  • empirical parameters, Bisulfighter can use the expectation-maximization algorithm for HMMs to adjust parameters...
  • EMMIXcskew

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

  • Referenced in 14 articles [sw11284]
  • discreteness of the latent traits. The fitting algorithms allow for missing responses and for different ... parameterizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights...
  • SeqEM

  • Referenced in 1 article [sw35196]
  • call SeqEM, applies the well-known Expectation-Maximization algorithm to an appropriate likelihood...
  • frailtyEM

  • Referenced in 1 article [sw19525]
  • frailtyEM. Fitting Frailty Models with the EM Algorithm. Contains functions for fitting shared frailty models ... semi-parametric baseline hazard with the Expectation-Maximization algorithm. Supported data formats include clustered failures...
  • fastLink

  • Referenced in 1 article [sw28188]
  • Fellegi-Sunter model using the Expectation-Maximization algorithm. In addition, tools for preparing, adjusting...
  • FastCUB

  • Referenced in 1 article [sw37406]
  • ordinal rating data, consider the accelerated Expectation-Maximization algorithm to estimate and test models within...
  • eco

  • Referenced in 1 article [sw26436]
  • nonparametric models using either the Expectation-Maximization algorithms (for likelihood models) or the Markov chain...
  • MixSAL

  • Referenced in 2 articles [sw35313]
  • multivariate SAL distributions using the Expectation-Maximization (EM) algorithm (see Franczak...