
mclust
 Referenced in 140 articles
[sw00563]
 Estimation , Normal Mixture Modeling fitted via EM algorithm for ModelBased Clustering, Classification, and Density...

flexmix
 Referenced in 42 articles
[sw06087]
 mixtures of regression models using the EM algorithm. FlexMix provides the Estep...

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...

mixsmsn
 Referenced in 23 articles
[sw06064]
 skewnormal independent distributions. A general EMtype algorithm is employed for iteratively computing parameter ... proposed methodology. The proposed EMtype algorithm and methods are implemented in the R package...

HAPLO
 Referenced in 20 articles
[sw04580]
 HAPLO: A Program Using the EM Algorithm to Estimate the Frequencies of Multisite Haplotypes...

FAMT
 Referenced in 17 articles
[sw11123]
 parameters are estimated thanks to an EM algorithm. Adjusted tests statistics are derived, as well...

EMMIX
 Referenced in 11 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...

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...

EMMIXskew
 Referenced in 10 articles
[sw07968]
 EMMIXskew: The EM Algorithm and Skew Mixture Distribution EM algorithm for Mixture of Multivariate Skew...

SQUAREM
 Referenced in 9 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...

Stem
 Referenced in 7 articles
[sw12287]
 spatiotemporal model using the EM algorithm, estimation of the parameter standard errors using...

funHDDC
 Referenced in 7 articles
[sw11130]
 estimation procedure based on the EM algorithm is proposed for determining both the model parameters...

bivpois
 Referenced in 6 articles
[sw20812]
 Poisson regression models. An ExpectationMaximization (EM) algorithm is implemented. Inflated models allow for modelling...

R/qtl
 Referenced in 5 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 111 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 4 articles
[sw07435]
 which we develop an EMalgorithm for maximum likelihood estimation. The properties of the overall...

Mixmod
 Referenced in 22 articles
[sw06991]
 large variety of algorithms to estimate the mixture parameters are proposed (EM, Classification EM, Stochastic...

spinyReg
 Referenced in 2 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...

disclapmix
 Referenced in 2 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...

EMMIXskew
 Referenced in 3 articles
[sw19758]
 package EMMIXskew: EM Algorithm for Mixture of Multivariate Skew Normal/t Distributions...