
bivpois
 Referenced in 17 articles
[sw20812]
 bivariate Poisson regression models. An ExpectationMaximization (EM) algorithm is implemented. Inflated models allow...

System Identification Toolbox
 Referenced in 174 articles
[sw05686]
 parametric, subspacebased, and predictionerror 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 ExpectationMaximization (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 ExpectationMaximization (EM) algorithm (see Franczak...

MARSS
 Referenced in 2 articles
[sw23275]
 Fitting is primarily via an ExpectationMaximization (EM) algorithm, although fitting via the BFGS algorithm...

GAKREM
 Referenced in 10 articles
[sw02712]
 Expectation Maximization) that combines the best characteristics of the Kmeans 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 expectation–maximization (EM) type algorithm, including some possibilities for modeling...

matrixdist
 Referenced in 1 article
[sw36794]
 simulation and estimation using the expectationmaximization (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 BaumWelch 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: NMFEM Algorithm. Provides a version of the ExpectationMaximization algorithm...

emIRT
 Referenced in 0 articles
[sw16150]
 package emIRT. Various ExpectationMaximization (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 ExpectationMaximization (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 ... semiparametric baseline hazard with the ExpectationMaximization algorithm. Supported data formats include clustered failures...

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