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:
sparsebnData
for managing experimental data with interventions.sparsebnFit
for representing the output of a DAG learning algorithm.sparsebnPath
for representing a solution path of estimates.The package also provides methods for manipulating these objects and for estimating parameters in graphical models:
estimate.parameters
for directed graphs.get.precision
for undirected graphs.get.covariance
for covariance matrices.