Changes in version 1.0.2 (2026-01-13)                  

  - Added id to globalVariables() to fix compatibility with upcoming
    dplyr release
  - Fixed invalid file URI in README.md

                        Changes in version 1.0.1                        

  - Updated test expectations following upstream correction to
    readmission dataset in frailtypack: 3 subjects previously had
    inconsistent death/event coding which has now been fixed.

                 Changes in version 1.0.0 (2024-12-05)                  

  - Filling documentation for train_forest() and predict()
  - Vignettes filled

                        Changes in version 0.2.0                        

  - Adding 3 vignettes
  - Setting pkgdown parameters
  - Filling README
  - train_forest() does not used X and Y anymore but data, id_var,
    covariates, event, time_vars, death_var to define data-related
    parameters

                        Changes in version 0.1.0                        

  - Refactoring train_forest()
      - n_boostrap is set to NULL by default. If NULL, the number of
        bootstrap samples is set to 2/3 the number of individuals in the
        dataset.
      - params is not a function parameter anymore, each parameter must
        be explicitly provided in the function call

                        Changes in version 0.0.2                        

  - Implementing s3 methods for "summary", "print" and "predict" ("plot"
    waiting to be implemented)
  - Adding unit tests (code coverage: 94.21%)
  - Adding documentation (README.md)
  - Setting continuous integration on Gitlab CI
  - Adding a demo dataset "bladder1_recforest"
  - Setting pkgdown

                        Changes in version 0.0.1                        

  - Refactoring + golden master