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.