A set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data.
This package provides various S3 classes for making it easy to estimate graphical models from data:
sparsebnDatafor managing experimental data with interventions.
sparsebnFitfor representing the output of a DAG learning algorithm.
sparsebnPathfor representing a solution path of estimates.
The package also provides methods for manipulating these objects and for estimating parameters in graphical models:
estimate.parametersfor directed graphs.
get.precisionfor undirected graphs.
get.covariancefor covariance matrices.
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