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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.

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.