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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.