Changes in version 1.1.2 (2023-01-05)                  

  - Version 1.1.2 released on GitHub and CRAN.
  - Major changes
      - fixed bug in standard error calculation when user inputs
        estimates

                 Changes in version 1.1.1 (2022-04-23)                  

  - Version 1.1.1 released on GitHub and CRAN.
  - Major changes
      - fixed bug in how multi-level treatment estimates are computed
  - Minor changes
      - fixed small bugs that caused errors predicting from some super
        learner wrapper functions.
      - removed earth dependency to fix build errors

                 Changes in version 1.1.0 (2021-06-02)                  

  - Version 1.1.0 released on GitHub and CRAN.
  - Major changes
      - add support for averaging over multiple super learner runs
      - add support for partially/fully cross-validated standard error
        estimates
      - default for stratify argument changed to FALSE
      - major additions to vignette documenting new features
  - Minor changes
      - future parallel backend must be specified externally by user
      - accordingly, some dependencies have been updated

                 Changes in version 1.0.5 (2020-01-09)                  

As of January 2019:

  - Version 1.0.5 released on GitHub and CRAN.
  - Addition of snow and data.table packages to suggests to quell
    re-occurring warnings and errors on CRAN builds.
  - Added nSL option for fitting and averaging multiple super learners
    as part of the estimation procedure.
  - Added adapt_g option for outcome-adaptive propensity score fitting.

                 Changes in version 1.0.4 (2018-12-18)                  

As of August 2019:

  - Added minor touch-ups and link fixes to documentation and vignettes.
  - Improved how slots are ordered upon being included in the return
    object.

As of July 2019:

  - Version 1.0.4.9001 released on GitHub.
  - Removed dependency on plyr package.
  - Added option to average over repeated Super Learner fits.

As of December 18, 2018:

  - Version 1.0.4 released on GitHub and CRAN.
  - Resolved issues arising from returnModels option when users input
    nuisance parameters.
  - Added option to bypass future parallelization calls for easier
    debugging.
  - Fixed bugs in standard TMLE implementation -- namely, more robust
    fluctuations and corrected variance estimators.

                 Changes in version 1.0.3 (2018-07-02)                  

As of July 2, 2018:

  - Version 1.0.3 released on GitHub and CRAN.
  - Fixed warnings on CRAN builds.

                 Changes in version 1.0.2 (2018-02-05)                  

As of February 5, 2018:

  - Version 1.0.2 released on GitHub and CRAN.
  - Replaced foreach parallelization with future.
  - Included more robust Super Learner methods.
  - Fixed test to pass build with long doubles removed.
  - Accommodated returning estimated influence functions with drtmle()
    fit for power users.
  - Incorporated minor documentation corrections and updates.

As of December 11, 2017:

  - Version 1.0.2.9000 released on GitHub.
  - More robust convex combination SuperLearner implemented.

                 Changes in version 1.0.0 (2017-08-17)                  

As of August 17, 2017:

  - Version 1.0.0 released on CRAN.
  - Version 1.0.0.9000 released on GitHub.

As of August 15, 2017:

  - Version 1.0.0 ready for CRAN release.

                        Changes in version 0.0.1                        

As of April 05, 2017:

  - The first public release of this package (v. 0.0.1) is made
    available on GitHub.