Changes in version 1.0.0 (2023-08-25)                  

  - Revamped package structure
  - Introduced the high-level function estimate_itr() to provide a easy
    process to train and evaluate individualized treatment rules.
  - Added support for automatic training of many machine learning
    algorithms including Caret, Superlearner, BART, and Causal Forests.
  - Provided plotting tools that automatically creates beautiful plots
    for evaluation metrics
  - Changed output structure to provide more detailed information on
    evaluation metrics and confidence intervals, integrates with
    summary() function.

                 Changes in version 0.3.0 (2022-03-29)                  

  - Added a NEWS.md file to track changes to the package.