v1.5.4

New Features

• Added get_paths method to BootstrapResult that searches all paths between specified variables and outputs the bootstrap probability for each path in ICALiNGAM, DirectLiNGAM, MultiGroupDirectLiNGAM, BottomUpParceLiNGAM and RCD

v1.5.3

New Features

• Changed to apply prior knowledge when pruning of adjacent matrix in DirectLiNGAM and BottomUpParceLiNGAM

Code Fixes

• Corrected issubclass to isinstance in VARLiNGAM and VARMALiNGAM (#25)

v1.5.2

New Features

• Modify algorithm for prior knowledge implemented in DirectLiNGAM and MultiGroupDirectLiNGAM
• Add prior_knowledge option to specify prior knowledge to BottomUpParceLiNGAM

Installation

• Add statsmodels to install_requires in setup.py(#22)

Code Fixes

• Rename the function from BootstrapResult.get_causal_effects to BootstrapResult.get_total_causal_effects
• Change the diagonal component of the prior knowledge matrix created by `utils.make_prior_knowledge from 0 to -1

v1.5.1

• Add get_error_independence_p_values function to all algorithms
• Changed to use Adaptive lasso when estimating the total effect

v1.5.0

• Add RCD algorithm

v1.4.1

• Add regressor property to BottomUpParceLiNGAM
• Add residuals property to VARLiNGAM and VARMALiNGAM
• Change the behavior of CausalEffect.predict for LogisticRegression
• Change alpha parameter of BottomUpParceLiNGAM to be able to specify 0
• Add example notebooks

v1.4.0

• Add BottomUpParceLiNGAM
• Add check code to estimate_total_effect

v1.3.1

• Added BootstrapResult.get_causal_effects method to bootstrapping
• Fixed LongitudinalLiNGAM
• Improve the description of LongitudinalLiNGAM
• Updated tutorials and examples
• Added instructions on how to save the graphs to file

v1.3.0

• Added LongitudinalLiNGAM class for longitudinal datasets.
• Added "measure" option in DirectLiNGAM.

v1.2.1

• Added get_probabilities method to BootstrapResult