evalITR 1.0.0

• 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.

evalITR 0.3.0

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