v1.1.0

Includes a suite of new options for averaging results over multiple seeds. Changes some of the default regression options.

drtmle v1.0.5

• 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 v1.0.4

• Resolves issues arising from returnModels option when users input nuisance parameters
• Add option to bypass future calls for easier debugging
• Fixes to bugs in standard TMLE implementation -- namely, more robust fluctuations and corrected variance estimators

Version 1.0.3

Version 1.0.3 on CRAN

drtmle V 1.0.2

February 5, 2018

• Version 1.0.2 released on GitHub and CRAN
• Replace foreach parallelization with future
• More robust super learner methods included
• Fix test to pass build with long doubles removed
• Return estimated influence functions with drtmle fit for power users
• Minor documentation corrections and updates

drtmle v1.0.0

Version 1.0.0 released on CRAN.