StratifiedMedicine 1.0.2

• Fixed bugs relating to binary outcome data (family=“binomial”)
• Fixed bugs relating to resampling estimates with OTR pooling for non-default delta vlues. (ex: PRISM(Y, A, X, resample=“Bootstrap”, pool=“otr:logistic”, delta=“>0.10”))

StratifiedMedicine 1.0.1

• Fixed mapping issue for boxplots for function plot(PRISM.fit,type=“tree”, tree.plots=“outcome”)
• Added propensity-based estimation for functions ple_train and PRISM

StratifiedMedicine 1.0.0

• Added a NEWS.md file to track changes to the package.
• Version 1.0.0: Added new features and improved functionality. See vignette for more details. Changes included improved plotting features, treatment difference estimates through base-learners and meta-learners, partial dependence plots, variable importance plots, and enhanced functionality on individual functions.