Title: Entropy Minimization over Variable Clusters
Description: 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>).

Title: The Expectation-Maximization Approach to Bayesian Variable
Author: Veronika Rockova [aut,cre], Gemma Moran [aut]
Description: 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>.

Author: Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Description: 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.
URL: 'Expectation-Maximization Binary Clustering for Behavioural
Imports: sp, methods, RColorBrewer, mnormt, maptools

Description: 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.

Description: 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").
Imports: Rcpp (>= 0.11.0), sp, methods, RColorBrewer, mnormt, maptools