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