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.