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ccdrAlgorithm 0.0.5

Notes

Minor patch to fix failing CRAN check

ccdrAlgorithm 0.0.4

Features

ccdr.run now supports black lists and white lists (sparsebn #6)
Users can now use prior knowledge of variances via the new sigmas argument to ccdr.run (sparsebn #12)

Bug fixes

ivn.rand = FALSE not handled correctly (#4)

ccdrAlgorithm 0.0.3

Features

New generate_mvn_data() method to generate multivariate normal data from a DAG.

Notes

Added warning when dataset contains more than 10,000 columns: This requires building from source. The CCDr algorithm has been safely tested on datasets with up to 8,000 variables.
By default, ccdr.run() includes the node names in the sparsebnPath output.

ccdrAlgorithm 0.0.2

Features

ccdr.run() is now compatible with interventional data

ccdrAlgorithm 0.0.1

Initial stable release