StratifiedMedicine 1.0.5

• Enhanced summary() function for both PRISM and submod_train
• Added plot_tree for submod_train function.
• Added resampling functionality to submod_train function
• Minor bug fixes throughout (ex: T-learner with non-null Xtest dataset)

StratifiedMedicine 1.0.4

• Fixed bugs for plot() for type=“resample” and tree.plots=“density”, such that density plots match up with right tree nodes.
• Added pool=“trteff”,“trteff_boot” (pools subgroups based on naive or bootstrap resampling based treatment effect estimates)
• Added submod=“ctree_cate”, CATE~ctree(X), and submod=“rpart_cate”, CATE~rpart(X).

StratifiedMedicine 1.0.3

• Fixed bugs for plot() (when family=“survival”), such that Kaplan-meier plots match up with right tree nodes
• Updated documentation and plot labels

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.