abn: An R package to providing routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data.
Webpage http://r-bayesian-networks.org. A stable version of the package is posted on CRAN.
varrank: Heuristics Tools Based on Mutual Information for Variable Ranking. A computational toolbox of heuristics approaches for performing variable ranking and feature selection based on mutual information well adapted for multivariate system epidemiology datasets. The core function is a general implementation of the minimum redundancy maximum relevance model. Variables ranking can be learned with a sequential forward/backward search algorithm. The two main problems that can be addressed by this package is the selection of the most representative variable within a group of variables of interest (i.e. dimension reduction) and variable ranking with respect to a set of features of interest.
Webpage (based on pkgdown); a stable version of the package is posted on CRAN.
mcmcabn: Flexible implementation of a structural MCMC sampler for Directed Acyclic Graphs (DAGs). It supports new edge reversal move and the Markov blanket resampling from as well as three priors: a prior controlling for structure complexity, an uninformative prior and a user defined prior. The three main problems that can be addressed by this R package are selecting the most probable structure based on a cache of pre-computed scores, controlling for overfitting and sampling the landscape of high scoring structures.
Webpage (based on pkgdown); a stable version of the package is posted on CRAN, a development version is posted here.