v1.9.1

New Features

• Added option to set prior knowledge for LongitudinalLiNGAM.
• Modified lingam.CausalBasedSimulator for Causal Digital Twin. See the following Jupyter notebooks for usage:
  • examples/CausalBasedSimulator_introduction.ipynb
  • examples/CausalBasedSimulator_generating_simulated_data.ipynb
  • examples/CausalBasedSimulator_estimating_functional_relationships.ipynb
• Modified tools.bootstrap_with_imputation for https://github.com/cdt15/pruning_missing_data.

Examples

• Added an example of causal discovery for data with discrete variables.
  • examples/Example_to_perform_causal_discovery_on_data_with_discrete_variables.ipynb

Code Fixes

• Fixed wrong selection of predictors in LongitudinalLiNGAM._compute_residuals when n_lags>1. (#155)