
mclust
 Referenced in 190 articles
[sw00563]
 Estimation , Normal Mixture Modeling fitted via EM algorithm for ModelBased Clustering, Classification, and Density...

flexmix
 Referenced in 74 articles
[sw06087]
 mixtures of regression models using the EM algorithm. FlexMix provides the Estep...

EMMIX
 Referenced in 19 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...

RegEM
 Referenced in 12 articles
[sw04943]
 Maximization The modules implement the regularized EM algorithm described in T. Schneider, 2001: Analysis ... Climate, 14, 853871. 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...

FAMT
 Referenced in 23 articles
[sw11123]
 parameters are estimated thanks to an EM algorithm. Adjusted tests statistics are derived, as well...

HAPLO
 Referenced in 21 articles
[sw04580]
 HAPLO: A Program Using the EM Algorithm to Estimate the Frequencies of Multisite Haplotypes...

PRISM
 Referenced in 28 articles
[sw23359]
 examples with the help of the EM learning algorithm. As a knowledge representation language appropriate...

EMMIXskew
 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 Kmeans 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 Kmeans algorithm, and the likelihood...

Stem
 Referenced in 15 articles
[sw12287]
 spatiotemporal model using the EM algorithm, estimation of the parameter standard errors using...

SQUAREM
 Referenced in 11 articles
[sw12282]
 extrapolation methods for accelerating fixedpoint iterations. Algorithms for accelerating the convergence of slow, monotone ... smooth, contraction mapping such as the EM algorithm. It can be used to accelerate...

bivpois
 Referenced in 11 articles
[sw20812]
 Poisson regression models. An ExpectationMaximization (EM) algorithm is implemented. Inflated models allow for modelling...

funHDDC
 Referenced in 11 articles
[sw11130]
 estimation procedure based on the EM algorithm is proposed for determining both the model parameters...

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), HaleyKnott regression, and multiple imputation...

System Identification Toolbox
 Referenced in 133 articles
[sw05686]
 parametric, subspacebased, and predictionerror 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 EMalgorithm for maximum likelihood estimation. The properties of the overall...

spinyReg
 Referenced in 3 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...

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

phmm
 Referenced in 5 articles
[sw19050]
 model incorporating random effects using an EM algorithm using Markov Chain Monte Carlo...

sspir
 Referenced in 5 articles
[sw24865]
 matrices can be performed using the EM algorithm in case of Gaussian models. Read help...