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drtmle 1.1.2

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

drtmle 1.1.1

  • 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

drtmle 1.1.0

  • 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

drtmle 1.0.5

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.

drtmle 1.0.4

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.

drtmle 1.0.3

As of July 2, 2018:

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

drtmle 1.0.2

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.

drtmle 1.0.0

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.

drtmle 0.0.1

As of April 05, 2017:

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