TrialEmulation 0.0.4.0

• Add new extensible S4 class based interface.
  • Step-by-step functions to construct sequence of target trial analysis. See the “New Interface”” vignette.
  • Possibility to add alternative data storage and model fitting functionality. See the “Extending TrialEmulation” vignette.
  • Use duckdb to store expanded data for efficient reading and sampling of large data.
  • Use parsnip models for weight model fitting (experimental, not recommended).
  • This interface is still “experimental” and may change in future
  • Thanks @darkgoldenrod-cherry

TrialEmulation 0.0.3.9

• Improved documentation

• Add estimand_type argument

• Fix partial matching in data.table calls. Thanks @joshhwuu

• Additional internal refactoring

TrialEmulation 0.0.3.2

• Initial release to CRAN

TrialEmulation 0.0.2.x

• Further feature development and code improvement

• Implemented case-control sampling

• Implemented predict() method

• Package tests and CI pipeline on github

TrialEmulation 0.0.1

• Initial development by Roonak Rezvani as internship project

• Data preparation and model fitting functions for sequence of target trials

• Support for large data using biglm, data.table and chunked processing