New Features * Added ``LiNA`` and ``MDLiNA`` algorithm * Added ``RESIT`` algorithm
1.5.5
New Features * Added `get_paths` method to the result of bootstrapping that searches all paths between specified variables and outputs the bootstrap probability for each path in `VARLiNGAM`, `VARMALiNGAM` and `LongitudinalLiNGAM` Code Fixes * Changed the timing for creating the partial orders when applying prior knowledge in `DirectLiNGAM` * Fixed that prior knowledge is not applied when there are duplicate no_paths (34)
1.5.4
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`
1.5.3
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)
1.5.2
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
1.5.1
* Add get_error_independence_p_values function to all algorithms * Changed to use Adaptive lasso when estimating the total effect