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TrialEmulation 0.0.4.1

  • 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