Changes in version 0.0.4.11 (2026-04-10)                

  - Remove dependency on parglm which has been archived on CRAN.

                Changes in version 0.0.4.8 (2025-11-19)                 

  - Fix bugs in testing discovered due to updated testthat. Thanks
    @hadley
  - Update links

                Changes in version 0.0.4.5 (2025-06-13)                 

  - Update tests for duckdb 1.3.0 changes to sampling.
  - Require R >= 4.1 for native pipe support.

                Changes in version 0.0.4.2 (2025-02-21)                 

  - Update tests for duckdb 1.2.0 changes to sampling.

                Changes in version 0.0.4.0 (2024-11-29)                 

  - 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

                Changes in version 0.0.3.9 (2024-09-09)                 

  - Improved documentation

  - Add estimand_type argument

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

  - Additional internal refactoring

                Changes in version 0.0.3.2 (2023-08-25)                 

  - Initial release to CRAN

                        Changes in version 0.0.2                        

  - Further feature development and code improvement

  - Implemented case-control sampling

  - Implemented predict() method

  - Package tests and CI pipeline on github

                        Changes in version 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