• bivpois

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

  • Referenced in 174 articles [sw05686]
  • parametric, subspace-based, and prediction-error algorithms coupled (in the latter case) with either MIMO ... model parametrizations, and the employment of Expectation Maximization (EM) methods...
  • admixture

  • Referenced in 6 articles [sw26449]
  • population allele frequencies using the expectation maximization (EM) algorithm. (See admixture.barebones.R and admixture.barebones.demo...
  • RegEM

  • Referenced in 17 articles [sw04943]
  • RegEM: Regularized Expectation Maximization The modules implement the regularized EM algorithm described in T. Schneider...
  • EMMIXcskew

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

  • Referenced in 4 articles [sw29569]
  • model parameters using an expectation maximization (EM) algorithm and is therefore capable of adjusting...
  • MixSAL

  • Referenced in 3 articles [sw35313]
  • multivariate SAL distributions using the Expectation-Maximization (EM) algorithm (see Franczak...
  • MARSS

  • Referenced in 2 articles [sw23275]
  • Fitting is primarily via an Expectation-Maximization (EM) algorithm, although fitting via the BFGS algorithm...
  • GAKREM

  • Referenced in 10 articles [sw02712]
  • Expectation Maximization) that combines the best characteristics of the K-means and EM algorithms...
  • FEprovideR

  • Referenced in 1 article [sw36818]
  • effects model and an approximate expectation maximization (EM) algorithm for the logistic mixed effects model...
  • skewlmm

  • Referenced in 2 articles [sw40766]
  • linear mixed models using an expectationmaximization (EM) type algorithm, including some possibilities for modeling...
  • matrixdist

  • Referenced in 1 article [sw36794]
  • simulation and estimation using the expectation-maximization (EM) algorithm are provided. The methods of this...
  • GaussianMixtures

  • Referenced in 1 article [sw32979]
  • using the Expectation Maximization (EM) algorithm, the inner loop (computing the Baum-Welch statistics...
  • WemIQ

  • Referenced in 1 article [sw34552]
  • bias removal with a weighted expectation maximization (EM) algorithm to distribute reads among isoforms efficiently...
  • nmfem

  • Referenced in 3 articles [sw39284]
  • package nmfem: NMF-EM Algorithm. Provides a version of the Expectation-Maximization algorithm...
  • emIRT

  • Referenced in 0 articles [sw16150]
  • package emIRT. Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models...
  • saemix

  • Referenced in 2 articles [sw08851]
  • Approximation Expectation Maximization (SAEM) algorithm. The SAEMIX package implements the Stochastic Approximation EM algorithm ... linear mixed effects models. The SAEM algorithm: - computes the maximum likelihood estimator of the population ... quadrature approximation,...), using the Stochastic Approximation Expectation Maximization (SAEM) algorithm, - provides standard errors...
  • BANFF

  • Referenced in 0 articles [sw15867]
  • based posterior inference and an Expectation-Maximization (EM) based algorithm for posterior approximation...
  • frailtyEM

  • Referenced in 4 articles [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...
  • FastCUB

  • Referenced in 1 article [sw37406]
  • package FastCUB: Fast EM and Best-Subset Selection for CUB Models for Rating Data ... ordinal rating data, consider the accelerated Expectation-Maximization algorithm to estimate and test models within...