Essential covariates are no longer "gender" and "age" by default, but all attributes from the patients group. Raises errors in case there are not enough control/treated patients with those attributes.
One-hot-encoded variables are not "gender" by default, but all attributes characterised by extract_attribute_summary function as Categorical.
Added tests to the Matching Class
Changed some variable names (hyperparam -> hyperparameters) for better variable naming consistency.
Essential covariates are no longer "gender" and "age" by default, but all attributes from the patients group. Raises errors in case there are not enough control/treated patients with those attributes.
One-hot-encoded variables are not "gender" by default, but all attributes characterised by
extract_attribute_summaryfunction as Categorical.Added tests to the Matching Class
Changed some variable names (hyperparam -> hyperparameters) for better variable naming consistency.