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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.