Estimation of Missing Values for a Data Matrix
Estimation of missing values in a matrix by a k-th nearest neighboors algorithm

Entropy Minimization over Variable Clusters (EMVC)
Contains logic for the data-driven optimization of annotations via minimization of the entropy of variable group members over discrete variable clusters.

Entropy Minimization over Variable Clusters
Contains logic for the data-driven optimization of annotations via minimization of the entropy of variable group members over discrete variable clusters (see Frost, HR and Moore, JH (2014) <doi:10.1093/bioinformatics/btu110>).

The Expectation-Maximization Approach to Bayesian Variable
Selection
Veronika Rockova [aut,cre], Gemma Moran [aut]
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization paths for linear regression. Rockova and George (2014) <doi:10.1080/01621459.2013.869223>.

Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Unsupervised, multivariate, clustering algorithm yielding a meaningful binary clustering taking into account the uncertainty in the data. A specific constructor for trajectory movement analysis yields behavioural annotation of the tracks based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator.
'Expectation-Maximization Binary Clustering for Behavioural
Annotation', (submitted to PLOS ONE)
sp, methods, RColorBrewer, mnormt, maptools

Unsupervised, multivariate, clustering algorithm for meaningful binary clustering and taking into account the uncertainty in the data. A specific constructor for trajectory movement analysis yields behavioural annotation of the tracks based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator.

Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory movement analysis yields behavioural annotation of trajectories based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator, ("Expectation-Maximization Binary Clustering for Behavioural Annotation").
Rcpp (>= 0.11.0), sp, methods, RColorBrewer, mnormt, maptools