Changes in version 1.0.5 (2022-03-29)                  

  - 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)

                 Changes in version 1.0.4 (2021-09-02)                  

  - 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).

                 Changes in version 1.0.3 (2021-01-07)                  

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

                 Changes in version 1.0.2 (2020-08-03)                  

  - 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"))

                 Changes in version 1.0.1 (2020-06-17)                  

  - 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

                 Changes in version 1.0.0 (2020-06-10)                  

  - 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.