v0.2.0

Changed

• offset method-parameter -> hyper-parameter
• estimate_ite_poisson function -> estimate_ite_tpoisson
• max_dacay hyper-parameter -> t_decay.
• interpret_select_rules function -> interpret_rules.
• generate_causal_rules function -> discover_rules.
• discover_causal_rules function ->select_rules.
• offset_name method parameter -> offset.
• Hyper and method parameters are no more required arguments for cre.
• cre object: added parameters and ite estimation.

Added

• Synthetic data set with 1 or 3 rules (generate_cre_dataset).
• S-Learner (slearner) method for ITE estimation.
• T-Learner (tlearner) method for ITE estimation.
• X-Learner (xlearner) method for ITE estimation.
• Rules Selection description in summary.cre.
• verbose parameter in summary.cre.
• ite, additional cre input parameter to use personalized ite
  estimations.
• Default values for hyper parameters.
• Default values for method parameters.
• Simulation experiments for estimation (estimation.R).
• Simulation experiments for discovery (discovery.R).
• extract_effect_modifiers function (utility for performance evaluation).
• evaluate function for discovery evaluation.
• confounding parameter in generate_cre_dataset to set confounding type.
• ite_pred and model in CRE results.
• binary_covariates parameter in generate_cre_dataset to set covariates
  domain.

Removed

• include_ps_inf method-parameter.
• include_ps_dis method-parameter.
• oreg method for ITE estimation.
• ipw method for ITE estimation.
• sipw method for ITE estimation.
• ITE standard deviation estimation.
• type_decay hyper-parameter.
• Keep only linreg for CATE estimation (remove cate_method and
  cate_SL_library parameters).
• method_params and hyper_params additional parameters in summary.cre.
• ite standardization for Rules Generation.
• random_state parameter.
• include_offset method parameter.

Bug fixes

• Rules Generation Issue (set rules length and fix bootstrapping).